ImageNet classification with deep convolutional neural networks

2017/05/24 by Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton · 75,716 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Computer science #Convolution (computer science) #Convolutional neural network #Deep neural networks #Domain Adaptation and Few-Shot Learning #Dropout (neural networks) #Machine learning #Normalization (sociology) #Pattern recognition (psychology) #Pooling #Regularization (linguistics) #Softmax function #Word error rate

paper · pdf · doi:10.1145/3065386

published in Communications of the ACM 60(6), 84-90 (Association for Computing Machinery)

openalex publication_date 2017/05/24 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Abstract

We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 37.5% and 17.0%, respectively, which is considerably better than the previous state-of-the-art. The neural network, which has 60 million parameters and 650,000 neurons, consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully connected layers with a final 1000-way softmax. To make training faster, we used non-saturating neurons and a very efficient GPU implementation of the convolution operation. To reduce overfitting in the fully connected layers we employed a recently developed regularization method called "dropout" that proved to be very effective. We also entered a variant of this model in the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2% achieved by the second-best entry.

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• Take a Peek: Efficient Encoder Adaptation for Few-Shot Semantic Segmentation via LoRA
• Attending to Discriminative Certainty for Domain Adaptation
• An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems
• SGNet: A Super-class Guided Network for Image Classification and Object Detection
• Federated Domain Generalization with Latent Space Inversion
• Learning to Optimize Tensor Programs
• ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science
• Dynamic Efficient Adversarial Training Guided by Gradient Magnitude
• Learning Quantized Neural Nets by Coarse Gradient Method for Non-linear Classification
• Hands-on Evaluation of Visual Transformers for Object Recognition and Detection
• DirectSwap: Mask-Free Cross-Identity Training and Benchmarking for Expression-Consistent Video Head Swapping
• Microscopic Vehicle Trajectories from Heterogeneous and Area-Based Traffic
• Causality-inspired Single-source Domain Generalization for Medical Image Segmentation
• A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms
• Including Image-based Perception in Disturbance Observer for Warehouse Drones
• An Approach for Detection of Entities in Dynamic Media Contents
• Chopper: A Multi-Level GPU Characterization Tool & Derived Insights Into LLM Training Inefficiency
• PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
• LayerPipe2: Multistage Pipelining and Weight Recompute via Improved Exponential Moving Average for Training Neural Networks
• On the Heavy-Tailed Theory of Stochastic Gradient Descent for Deep Neural Networks
• Fully Convolutional Neural Networks for Dynamic Object Detection in Grid Maps (Masters Thesis)
• Atlas: A Dataset and Benchmark for E-commerce Clothing Product\n Categorization
• Natural-Logarithm-Rectified Activation Function in Convolutional Neural Networks
• PCGAN-CHAR: Progressively Trained Classifier Generative Adversarial Networks for Classification of Noisy Handwritten Bangla Characters
• A Closer Look at Spatiotemporal Convolutions for Action Recognition
• Tackling Graphical NLP problems with Graph Recurrent Networks
• HOLE: Homological Observation of Latent Embeddings for Neural Network Interpretability
• PolSAR Image Classification Based on Dilated Convolution and Pixel-Refining Parallel Mapping network in the Complex Domain
• LVIS: A Dataset for Large Vocabulary Instance Segmentation
• Revisiting Latent-Space Interpolation via a Quantitative Evaluation Framework
• Barrier-Free Large-Scale Sparse Tensor Accelerator (BARISTA) For\n Convolutional Neural Networks
• Explaining Deep Neural Networks
• Life is not black and white -- Combining Semi-Supervised Learning with fuzzy labels
• Amulet: Fast TEE-Shielded Inference for On-Device Model Protection
• GlimmerNet: A Lightweight Grouped Dilated Depthwise Convolutions for UAV-Based Emergency Monitoring
• Enhanced Chest Disease Classification Using an Improved CheXNet Framework with EfficientNetV2-M and Optimization-Driven Learning
• Integrating Multi-scale and Multi-filtration Topological Features for Medical Image Classification
• Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
• From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones
• Hierarchical Deep Learning for Diatom Image Classification: A Multi-Level Taxonomic Approach
• ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
• A Perception CNN for Facial Expression Recognition
• CN-CELEB: a challenging Chinese speaker recognition dataset
• Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response
• Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation
• Tensor object classification via multilinear discriminant analysis network
• Novel Deep Learning Architectures for Classification and Segmentation of Brain Tumors from MRI Images
• Statistical physics for artificial neural networks
• Towards Hardware-Agnostic Gaze-Trackers
• SPOOF: Simple Pixel Operations for Out-of-Distribution Fooling
• A Comparative Study on Synthetic Facial Data Generation Techniques for Face Recognition
• Achieving Approximate Symmetry Is Exponentially Easier than Exact Symmetry
• AI & Human Co-Improvement for Safer Co-Superintelligence
• Affine Non-negative Collaborative Representation Based Pattern Classification
• CNN on `Top': In Search of Scalable & Lightweight Image-based Jet Taggers
• TEA: Temporal Excitation and Aggregation for Action Recognition
• On the Effect of Regularization on Nonparametric Mean-Variance Regression
• A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
• Generative Recursive Reasoning
• ConvSequential-SLAM: A Sequence-based, Training-less Visual Place Recognition Technique for Changing Environments
• A Comparative Review of Recent Few-Shot Object Detection Algorithms
• Human-Level Control without Server-Grade Hardware
• TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
• An all-optical convolutional neural network for image identification
• A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing
• A Cascaded Zoom-In Network for Patterned Fabric Defect Detection
• Rethinking Decoupled Knowledge Distillation: A Predictive Distribution Perspective
• QoSDiff: An Implicit Topological Embedding Learning Framework Leveraging Denoising Diffusion and Adversarial Attention for Robust QoS Prediction
• CASTLE: Regularization via Auxiliary Causal Graph Discovery
• RRPN++: Guidance Towards More Accurate Scene Text Detection
• Performance Evaluation of Transfer Learning Based Medical Image Classification Techniques for Disease Detection
• Bayes-DIC Net: Estimating Digital Image Correlation Uncertainty with Bayesian Neural Networks
• CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation
• Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
• Deep Unfolding: Recent Developments, Theory, and Design Guidelines
• On the Binding Problem in Artificial Neural Networks
• Multi-Scale Visual Prompting for Lightweight Small-Image Classification
• What does LIME really see in images?
• Compressed Video Action Recognition with Refined Motion Vector
• Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data
• Group-Structured Adversarial Training
• Detecting Electric Devices in 3D Images of Bags
• Benchmarking machine learning models for multi-class state recognition in double quantum dot data
• Leveraging Large-Scale Pretrained Spatial-Spectral Priors for General Zero-Shot Pansharpening
• OmniPerson: Unified Identity-Preserving Pedestrian Generation
• Associative Memory using Attribute-Specific Neuron Groups-1: Learning between Multiple Cue Balls
• Breast Cell Segmentation Under Extreme Data Constraints: Quantum Enhancement Meets Adaptive Loss Stabilization
• The brain-AI convergence: Predictive and generative world models for general-purpose computation
• TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution
• Dependency Aware Filter Pruning
• Classification of Radio Signals and HF Transmission Modes with Deep Learning
• Equilibrium Propagation Without Limits
• TPCNet: Triple physical constraints for Low-light Image Enhancement
• Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
• Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks
• Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Visuomotor Policies
• Neural Networks for Predicting Permeability Tensors of 2D Porous Media: Comparison of Convolution- and Transformer-based Architectures
• Deep Learning for Generic Object Detection: A Survey
• Deep Learning in Neural Networks: An Overview
• A systematic study of the class imbalance problem in convolutional neural networks
• Masked Autoencoders Are Scalable Vision Learners
• SRM : A Style-based Recalibration Module for Convolutional Neural Networks
• Compact representations of convolutional neural networks via weight pruning and quantization
• CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
• Non-Parametric Neural Style Transfer
• Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control
• An Introduction to Convolutional Neural Networks
• Directed evolution algorithm drives neural prediction
• Spatiotemporal Satellite Image Downscaling with Transfer Encoders and Autoregressive Generative Models
• Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
• Long-term Temporal Convolutions for Action Recognition
• Emotion Recognition from Speech
• IGen: Scalable Data Generation for Robot Learning from Open-World Images
• Controllable 3D Object Generation with Single Image Prompt
• Scaling Laws for Neural Language Models
• Novelty Detection in MultiClass Scenarios with Incomplete Set of Class Labels
• All-Weather Object Recognition Using Radar and Infrared Sensing
• Dual-Projection Fusion for Accurate Upright Panorama Generation in Robotic Vision
• Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences
• ODE guided Neural Data Augmentation Techniques for Time Series Data and its Benefits on Robustness
• CACARA: Cross-Modal Alignment Leveraging a Text-Centric Approach for Cost-Effective Multimodal and Multilingual Learning
• Structured Context Learning for Generic Event Boundary Detection
• Fixing the train-test resolution discrepancy
• N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras
• BioArc: Discovering Optimal Neural Architectures for Biological Foundation Models
• "Why the face?": Exploring Robot Error Detection Using Instrumented Bystander Reactions
• SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation
• First Steps towards Machine Learning for Prediction and Pre-Correction in Direct Laser Writing
• GhostNet: More Features from Cheap Operations
• Explaining Deep Learning Models for Structured Data using Layer-Wise Relevance Propagation
• Action Recognition with Kernel-based Graph Convolutional Networks
• A Unified Framework for Multi-View Multi-Class Object Pose Estimation
• Bharat Scene Text: A Novel Comprehensive Dataset and Benchmark for Indian Language Scene Text Understanding
• Local and Global Context-and-Object-part-Aware Superpixel-based Data Augmentation for Deep Visual Recognition
• CyCNN: A Rotation Invariant CNN using Polar Mapping and Cylindrical Convolution Layers
• Learning Deep Structure-Preserving Image-Text Embeddings
• CycleCluster: Modernising Clustering Regularisation for Deep Semi-Supervised Classification
• On-the-Job Learning with Bayesian Decision Theory
• CNN-Based Framework for Pedestrian Age and Gender Classification Using Far-View Surveillance in Mixed-Traffic Intersections
• Hybrid Context-Fusion Attention (CFA) U-Net and Clustering for Robust Seismic Horizon Interpretation
• DAONet-YOLOv8: An Occlusion-Aware Dual-Attention Network for Tea Leaf Pest and Disease Detection
• Adversarial Training Towards Robust Multimedia Recommender System
• Adversarial AutoMixup
• Active Learning for GCN-based Action Recognition
• tfShearlab: The TensorFlow Digital Shearlet Transform for Deep Learning
• A Variational View on Bootstrap Ensembles as Bayesian Inference
• Neurodevelopmental Age Estimation of Infants Using a 3D-Convolutional Neural Network Model based on Fusion MRI Sequences
• Neural Networks, Hypersurfaces, and Radon Transforms
• Photo-Realistic Video Prediction on Natural Videos of Largely Changing Frames
• A multi-task convolutional neural network for mega-city analysis using very high resolution satellite imagery and geospatial data
• Provably Powerful Graph Networks
• Tactile-Based Insertion for Dense Box-Packing
• Decoupled Dynamic Filter Networks
• STEP: Segmenting and Tracking Every Pixel
• Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation
• FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition
• Fundamentals of Regression
• Optimal Conversion of Conventional Artificial Neural Networks to Spiking Neural Networks
• BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation
• Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization
• Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations
• A Physics-Informed U-net-LSTM Network for Data-Driven Seismic Response Modeling of Structures
• MorphingDB: A Task-Centric AI-Native DBMS for Model Management and Inference
• Physics-informed neural networks method in high-dimensional integrable systems
• ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
• Generalized Out-of-Distribution Detection: A Survey
• Privacy-Preserving Self-Taught Federated Learning for Heterogeneous Data
• Improving the Generalization of End-to-End Driving through Procedural Generation
• WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
• Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
• Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
• Guaranteed Optimal Compositional Explanations for Neurons
• Open Vocabulary Compositional Explanations for Neuron Alignment
• CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics
• On a Sparse Shortcut Topology of Artificial Neural Networks
• Pre-train to Gain: Robust Learning Without Clean Labels
• NNGPT: Rethinking AutoML with Large Language Models
• Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations
• Advancing Image Classification with Discrete Diffusion Classification Modeling
• Exo2EgoSyn: Unlocking Foundation Video Generation Models for Exocentric-to-Egocentric Video Synthesis
• Federated Learning in Mobile Edge Networks: A Comprehensive Survey
• Triplet-Based Deep Hashing Network for Cross-Modal Retrieval
• Temporally Distributed Networks for Fast Video Semantic Segmentation
• gradSLAM: Automagically differentiable SLAM
• C³ Framework: An Open-source PyTorch Code for Crowd Counting
• ModHiFi: Identifying High Fidelity predictive components for Model Modification
• IDSplat: Instance-Decomposed 3D Gaussian Splatting for Driving Scenes
• Towards Deep Learning Models Resistant to Adversarial Attacks
• Visual Imitation Made Easy
• Experimental insights into data augmentation techniques for deep learning-based multimode fiber imaging: limitations and success
• Prototype-supervised Adversarial Network for Targeted Attack of Deep Hashing
• Combating Ambiguity for Hash-code Learning in Medical Instance Retrieval
• Dynamic Granularity Matters: Rethinking Vision Transformers Beyond Fixed Patch Splitting
• Deep fusion of multi-view and multimodal representation of ALS point cloud for 3D terrain scene recognition
• Towards Biologically Plausible Convolutional Networks
• Multimodal Real-Time Anomaly Detection and Industrial Applications
• Phase-Aligned RoPE for Mixed-Resolution Diffusion Transformer
• LookSharp: Attention Entropy Minimization for Test-Time Adaptation
• FHE-Agent: Automating CKKS Configuration for Practical Encrypted Inference via an LLM-Guided Agentic Framework
• Initializing ReLU networks in an expressive subspace of weights
• Cross-individual Recognition of Emotions by a Dynamic Entropy based on Pattern Learning with EEG features
• A Climatology of Quasi-Linear Convective Systems and Their Hazards in the United States
• Enhanced Center Coding for Cell Detection with Convolutional Neural Networks
• RAISECity: A Multimodal Agent Framework for Reality-Aligned 3D World Generation at City-Scale
• FAST: Topology-Aware Frequency-Domain Distribution Matching for Coreset Selection
• Using MLIR Transform to Design Sliced Convolution Algorithm
• Decoupled Audio-Visual Dataset Distillation
• APRIL: Annotations for Policy evaluation with Reliable Inference from LLMs
• The Rapid Growth of AI Foundation Model Usage in Science
• Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)
• Neural Architecture Search without Training
• Separation of time scales and direct computation of weights in deep neural networks
• LassoLayer: Nonlinear Feature Selection by Switching One-to-one Links
• Multiple Code Hashing for Efficient Image Retrieval
• PP-YOLO: An Effective and Efficient Implementation of Object Detector
• Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
• Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration
• An End-to-End Approach to Automatic Speech Assessment for Cantonese-speaking People with Aphasia
• Enhancing Adversarial Transferability through Block Stretch and Shrink
• Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
• Feasibility of Embodied Dynamics Based Bayesian Learning for Continuous Pursuit Motion Control of Assistive Mobile Robots in the Built Environment
• MorphSeek: Fine-grained Latent Representation-Level Policy Optimization for Deformable Image Registration
• Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks
• Automatic Recognition of Coal and Gangue based on Convolution Neural Network
• A Machine Learning-Driven Solution for Denoising Inertial Confinement Fusion Images
• Evolution Strategies at the Hyperscale
• Compositional Explanations of Neurons
• Learning from Noisy Labels with Distillation
• Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
• Learning without Forgetting
• UniFormer: Unifying Convolution and Self-Attention for Visual Recognition
• FVQA: Fact-Based Visual Question Answering
• Network Pruning for Low-Rank Binary Indexing
• Breast Tumor Classification and Segmentation using Convolutional Neural Networks
• CathAI: Fully Automated Interpretation of Coronary Angiograms Using Neural Networks
• GLOBE: Accurate and Generalizable PDE Surrogates using Domain-Inspired Architectures and Equivariances
• A Review of Machine Learning for Cavitation Intensity Recognition in Complex Industrial Systems
• Learning to Navigate Using Mid-Level Visual Priors
• What Your Features Reveal: Data-Efficient Black-Box Feature Inversion Attack for Split DNNs
• Med3D: Transfer Learning for 3D Medical Image Analysis
• Task-driven Semantic Coding via Reinforcement Learning
• Incidental Scene Text Understanding: Recent Progresses on ICDAR 2015 Robust Reading Competition Challenge 4
• Syn2Real: Forgery Classification via Unsupervised Domain Adaptation
• A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
• Clustered Object Detection in Aerial Images
• Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines
• Sigil: Server-Enforced Watermarking in U-Shaped Split Federated Learning via Gradient Injection
• VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows
• Deep Discriminative Representation Learning with Attention Map for Scene Classification
• SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks
• XNOR-Net++: Improved Binary Neural Networks
• Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
• DCNNs: A Transfer Learning comparison of Full Weapon Family threat detection for Dual-Energy X-Ray Baggage Imagery
• Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
• EVAA—Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles
• Cross-Learning from Scarce Data via Multi-Task Constrained Optimization
• Hamiltonian Neural Networks
• Learning proofs for the classification of nilpotent semigroups
• Region-Point Joint Representation for Effective Trajectory Similarity Learning
• Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
• Compositional Generalization for Primitive Substitutions
• Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes
• Sequence to Sequence Learning with Neural Networks
• IntPhys: A Framework and Benchmark for Visual Intuitive Physics Reasoning
• BinaryConnect: Training Deep Neural Networks with binary weights during propagations
• Questions to Guide the Future of Artificial Intelligence Research
• Recommendation or Discrimination?: Quantifying Distribution Parity in Information Retrieval Systems
• Generic decoding of seen and imagined objects using hierarchical visual features
• Information Theory-Guided Heuristic Progressive Multi-View Coding
• To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos
• Learning a Deep Embedding Model for Zero-Shot Learning
• Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
• TinyCNN: A Tiny Modular CNN Accelerator for Embedded FPGA
• MineGAN: effective knowledge transfer from GANs to target domains with few images
• A Gaussian Process perspective on Convolutional Neural Networks
• Alpha-Integration Pooling for Convolutional Neural Networks
• Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
• Meta Learning with Differentiable Closed-form Solver for Fast Video Object Segmentation
• LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
• Learning to Hash with Graph Neural Networks for Recommender Systems
• LAYA: Layer-wise Attention Aggregation for Interpretable Depth-Aware Neural Networks
• Sparsity-Control Ternary Weight Networks
• Quaternion Convolutional Neural Networks
• A Survey of Deep Reinforcement Learning in Video Games
• 1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation
• Understanding the robustness of deep neural network classifiers for breast cancer screening
• LEA-Net: Layer-wise External Attention Network for Efficient Color Anomaly Detection
• Calibrated Adversarial Training
• Separation and Concentration in Deep Networks
• Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization
• Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation
• Balanced Symmetric Cross Entropy for Large Scale Imbalanced and Noisy Data
• DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
• Credit scoring using neural networks and SURE posterior probability calibration
• Glance-and-Gaze Vision Transformer
• Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics
• Efficient Transfer Bayesian Optimization with Auxiliary Information
• Discovery and Separation of Features for Invariant Representation Learning
• Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels
• Batch Normalization Preconditioning for Neural Network Training
• Learning Accurate, Comfortable and Human-like Driving
• End-to-End Wireframe Parsing
• Walsh-Hadamard Variational Inference for Bayesian Deep Learning
• Shifted Chunk Transformer for Spatio-Temporal Representational Learning
• Tackling Over-Smoothing for General Graph Convolutional Networks
• Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
• Multi-level Texture Encoding and Representation (MuLTER) based on Deep Neural Networks
• Dense neural networks as sparse graphs and the lightning initialization
• Curriculum Learning: A Survey
• A Comprehensive Overhaul of Feature Distillation
• Can deep learning help you find the perfect match?
• Estimating or Propagating Gradients Through Stochastic Neurons
• HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks
• Differentiable Rendering: A Survey
• Exemplar Loss for Siamese Network in Visual Tracking
• Extremal Contours: Gradient-driven contours for compact visual attribution
• Effective Regularization Through Loss-Function Metalearning
• Deep Image Prior
• Quantile regression with deep ReLU Networks: Estimators and minimax rates
• A study on using image based machine learning methods to develop the surrogate models of stamp forming simulations
• FLClear: Visually Verifiable Multi-Client Watermarking for Federated Learning
• Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion
• Network Moments: Extensions and Sparse-Smooth Attacks
• Global Image Sentiment Transfer
• Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey
• Deep Learning Based Defect Detection for Solder Joints on Industrial X-Ray Circuit Board Images
• A Multicollinearity-Aware Signal-Processing Framework for Cross-β Identification via X-ray Scattering of Alzheimer's Tissue
• Multiscale Vision Transformers
• Machine Learning Framework for Efficient Prediction of Quantum Wasserstein Distance
• Learning Straight Flows: Variational Flow Matching for Efficient Generation
• Deep Spatial Pyramid: The Devil is Once Again in the Details
• Generalizing to unseen domains via distribution matching
• Hi-DREAM: Brain Inspired Hierarchical Diffusion for fMRI Reconstruction via ROI Encoder and visuAl Mapping
• Compiling to linear neurons
• The modified Physics-Informed Hybrid Parallel Kolmogorov--Arnold and Multilayer Perceptron Architecture with domain decomposition
• LEMUR: Large scale End-to-end MUltimodal Recommendation
• Physics-informed Machine Learning for Static Friction Modeling in Robotic Manipulators Based on Kolmogorov-Arnold Networks
• AdaptViG: Adaptive Vision GNN with Exponential Decay Gating
• AudioNet: Supervised Deep Hashing for Retrieval of Similar Audio Events
• Classification of motor faults based on transmission coefficient and reflection coefficient of omni-directional antenna using DCNN
• SliderEdit: Continuous Image Editing with Fine-Grained Instruction Control
• Why Should the Server Do It All?: A Scalable, Versatile, and Model-Agnostic Framework for Server-Light DNN Inference over Massively Distributed Clients via Training-Free Intermediate Feature Compression
• Multi-task Learning with Attention for End-to-end Autonomous Driving
• Learning Memory-guided Normality for Anomaly Detection
• Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection
• Unsupervised Domain Expansion from Multiple Sources
• Robust Policies via Mid-Level Visual Representations: An Experimental Study in Manipulation and Navigation
• RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
• Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
• CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
• A Comprehensive Study of Deep Video Action Recognition
• Convolutional neural networks decode visual stimulus positions from local field potentials on the mouse cortex
• C3AE: Exploring the Limits of Compact Model for Age Estimation
• State-Aware Tracker for Real-Time Video Object Segmentation
• PP-LCNet: A Lightweight CPU Convolutional Neural Network
• ProbSelect: Stochastic Client Selection for GPU-Accelerated Compute Devices in the 3D Continuum
• HipKittens: Fast and Furious AMD Kernels
• Advancing credibility and transparency in brain-to-image reconstruction research: Reanalysis of Koide-Majima, Nishimoto, and Majima (Neural Networks, 2024)
• Privacy Beyond Pixels: Latent Anonymization for Privacy-Preserving Video Understanding
• Quality-Aware Network for Human Parsing
• Integrating Large Circular Kernels into CNNs through Neural Architecture Search
• Under the Skin of Foundation NFT Auctions
• Deep Semantic Hashing with Generative Adversarial Networks
• Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
• Sample Prior Guided Robust Model Learning to Suppress Noisy Labels
• Edge of chaos as a guiding principle for modern neural network training
• Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search
• AuxBlocks: Defense Adversarial Example via Auxiliary Blocks
• A Hybrid Autoencoder-Transformer Model for Robust Day-Ahead Electricity Price Forecasting under Extreme Conditions
• Minimum Width of Deep Narrow Networks for Universal Approximation
• Learning Performance Optimization for Edge AI System with Time and Energy Constraints
• Refactoring Neural Networks for Verification
• A Survey of Machine Learning Methods and Challenges for Windows Malware Classification
• Inter-Image Communication for Weakly Supervised Localization
• Preparation of Fractal-Inspired Computational Architectures for Advanced Large Language Model Analysis
• Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
• TopoAct: Visually Exploring the Shape of Activations in Deep Learning
• CBIR using Pre-Trained Neural Networks
• The Low-Rank Simplicity Bias in Deep Networks
• Rethinking Parameter Sharing as Graph Coloring for Structured Compression
• Real-Time Face and Landmark Localization for Eyeblink Detection
• Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
• Escaping the Big Data Paradigm with Compact Transformers
• A Visual Perception-Based Tunable Framework and Evaluation Benchmark for H.265/HEVC ROI Encryption
• QDCNN: Quantum Dilated Convolutional Neural Network
• Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes
• Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective
• One-Shot Knowledge Transfer for Scalable Person Re-Identification
• Radio AGN feedback sustains quiescence only in a minority of massive galaxies
• Global Multiple Extraction Network for Low-Resolution Facial Expression Recognition
• Adversarial Attacks Beyond the Image Space
• Deep Image: Scaling up Image Recognition
• Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
• Global Context Networks
• Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning
• NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling
• Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
• Nowcast3D: Reliable precipitation nowcasting via gray-box learning
• Comparative Study of CNN Architectures for Binary Classification of Horses and Motorcycles in the VOC 2008 Dataset
• Accelerating scientific discovery with the common task framework
• Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning
• Distribution-Aware Tensor Decomposition for Compression of Convolutional Neural Networks
• Extended Physics Informed Neural Network for Hyperbolic Two-Phase Flow in Porous Media
• Depth-induced NTK: Bridging Over-parameterized Neural Networks and Deep Neural Kernels
• SAAIPAA: Optimizing aspect-angles-invariant physical adversarial attacks on SAR target recognition models
• Joint Optimization of DNN Model Caching and Request Routing in Mobile Edge Computing
• DKN: Deep Knowledge-Aware Network for News Recommendation
• LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference
• A novel method for identifying the deep neural network model with the Serial Number
• On Complex Valued Convolutional Neural Networks
• Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net
• SinReQ: Generalized Sinusoidal Regularization for Low-Bitwidth Deep Quantized Training
• Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images
• Deeper and Wider Siamese Networks for Real-Time Visual Tracking
• SPEC2: SPECtral SParsE CNN Accelerator on FPGAs
• An open access repository of images on plant health to enable the development of mobile disease diagnostics
• Learning with less: label-efficient land cover classification at very high spatial resolution using self-supervised deep learning
• Efficient Detection and Characterization of Targets of Natural Selection Using Transfer Learning
• MVAFormer: RGB-based Multi-View Spatio-Temporal Action Recognition with Transformer
• Condition Numbers and Eigenvalue Spectra of Shallow Networks on Spheres
• Neural Network Interoperability Across Platforms
• Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization
• Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster
• Energy-Efficient Deep Learning Without Backpropagation: A Rigorous Evaluation of Forward-Only Algorithms
• HyFormer-Net: A Synergistic CNN-Transformer with Interpretable Multi-Scale Fusion for Breast Lesion Segmentation and Classification in Ultrasound Images
• Parameter Interpolation Adversarial Training for Robust Image Classification
• Diluting Restricted Boltzmann Machines
• Beyond ImageNet: Understanding Cross-Dataset Robustness of Lightweight Vision Models
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• S²-MLP: Spatial-Shift MLP Architecture for Vision
• Distilling Image Classifiers in Object Detectors
• Content-Aware Convolutional Neural Networks
• Involution: Inverting the Inherence of Convolution for Visual Recognition
• AQD: Towards Accurate Fully-Quantized Object Detection
• Multi-Target Embodied Question Answering
• PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images
• Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
• Wavelet based edge feature enhancement for convolutional neural networks
• Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation
• Classification of Motor Imagery EEG Signals by Using a Divergence Based Convolutional Neural Network
• Dropout as a Bayesian Approximation: Appendix
• Adaptive Normalized Risk-Averting Training For Deep Neural Networks
• Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN
• EIRES:Training-free AI-Generated Image Detection via Edit-Induced Reconstruction Error Shift
• DRIP: Dynamic patch Reduction via Interpretable Pooling
• Understanding Convolutional Neural Networks with Information Theory: An Initial Exploration
• Region Comparison Network for Interpretable Few-shot Image Classification
• Detection Defense Against Adversarial Attacks with Saliency Map
• FruitProm: Probabilistic Maturity Estimation and Detection of Fruits and Vegetables
• Corner Proposal Network for Anchor-free, Two-stage Object Detection
• Spatial prediction of apartment rent using regression-based and machine learning-based approaches with a large dataset
• TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation
• Representation Learning: A Review and New Perspectives
• Two-Stream Convolutional Networks for Action Recognition in Videos
• Synergizing chemical and AI communities for advancing laboratories of the future
• Derivation and Analysis of Fast Bilinear Algorithms for Convolution
• Audio-visual Representation Learning for Anomaly Events Detection in Crowds
• Taming Visually Guided Sound Generation
• ResNet: Enabling Deep Convolutional Neural Networks through Residual Learning
• Seeking Salient Facial Regions for Cross-Database Micro-Expression Recognition
• Multi-view Low-rank Preserving Embedding: A Novel Method for Multi-view Representation
• Memory-based control with recurrent neural networks
• A representer theorem for deep neural networks
• LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
• TAda! Temporally-Adaptive Convolutions for Video Understanding
• Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps
• Digital video microscopy enhanced by deep learning
• SAND-mask: An Enhanced Gradient Masking Strategy for the Discovery of Invariances in Domain Generalization
• Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations
• Deeply Learned Spectral Total Variation Decomposition
• Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion
• Deeply-learned and spatial–temporal feature engineering for human action understanding
• A backdoor attack against LSTM-based text classification systems
• Explaining Knowledge Distillation by Quantifying the Knowledge
• Image Categorization and Search via a GAT Autoencoder and Representative Models
• Hierarchically Robust Representation Learning
• Learned Dual-View Reflection Removal
• MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers
• Why Do Deep Residual Networks Generalize Better than Deep Feedforward Networks? -- A Neural Tangent Kernel Perspective
• PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
• ATP-Net: An Attention-based Ternary Projection Network For Compressed Sensing
• The Benchmarking Epistemology: Construct Validity for Evaluating Machine Learning Models
• Model-Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn't the Right One
• Privacy-Preserving Semantic Communication over Wiretap Channels with Learnable Differential Privacy
• Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
• Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms
• Intrusion Detection: Machine Learning Baseline Calculations for Image Classification
• Rethinking Inference Placement for Deep Learning across Edge and Cloud Platforms: A Multi-Objective Optimization Perspective and Future Directions
• Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
• SeeDNorm: Self-Rescaled Dynamic Normalization
• Deep Learning: A Critical Appraisal
• Multiple Convolutional Features in Siamese Networks for Object Tracking
• Multiclass Burn Wound Image Classification Using Deep Convolutional Neural Networks
• Quanvolutional Neural Networks for Pneumonia Detection: An Efficient Quantum-Assisted Feature Extraction Paradigm
• Quantum Machine Learning for Image Classification: A Hybrid Model of Residual Network with Quantum Support Vector Machine
• Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition
• Top-Down Semantic Refinement for Image Captioning
• Moving Beyond Diffusion: Hierarchy-to-Hierarchy Autoregression for fMRI-to-Image Reconstruction
• TrajGATFormer: A Graph-Based Transformer Approach for Worker and Obstacle Trajectory Prediction in Off-site Construction Environments
• An Improved Analysis of Stochastic Gradient Descent with Momentum
• Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation
• Image Restoration Using Deep Regulated Convolutional Networks
• Energy-Efficient Domain-Specific Artificial Intelligence Models and Agents: Pathways and Paradigms
• From Black-box to Causal-box: Towards Building More Interpretable Models
• Toolflows for Mapping Convolutional Neural Networks on FPGAs: A Survey and Future Directions
• Task-Adaptive Neural Network Search with Meta-Contrastive Learning
• A Dilated Inception Network for Visual Saliency Prediction
• Widening and Squeezing: Towards Accurate and Efficient QNNs
• EBOP MAVEN: A machine learning model to estimate the input parameters for analytic fitting of detached eclipsing binary light curves
• OpenHype: Hyperbolic Embeddings for Hierarchical Open-Vocabulary Radiance Fields
• Bridging the gap to real-world language-grounded visual concept learning
• 3rd Place Solution to Large-scale Fine-grained Food Recognition
• 3rd Place Solution to ICCV LargeFineFoodAI Retrieval
• FINE Samples for Learning with Noisy Labels
• Parallelization Techniques for Verifying Neural Networks
• Long-tailed Species Recognition in the NACTI Wildlife Dataset
• Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
• One-pixel Signature: Characterizing CNN Models for Backdoor Detection
• Stand-Alone Self-Attention in Vision Models
• Domain Generalization with MixStyle
• Communication-Efficient Federated Distillation
• xMem: A CPU-Based Approach for Accurate Estimation of GPU Memory in Deep Learning Training Workloads
• Graph Neural Regularizers for PDE Inverse Problems
• Memory Constrained Dynamic Subnetwork Update for Transfer Learning
• HybridSOMSpikeNet: A Deep Model with Differentiable Soft Self-Organizing Maps and Spiking Dynamics for Waste Classification
• Pose Augmentation: Class-agnostic Object Pose Transformation for Object Recognition
• A Semantic Loss Function for Deep Learning with Symbolic Knowledge
• Anderson-type acceleration method for Deep Neural Network optimization
• SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images
• Machine learning identification of fractional-order vortex beam diffraction process
• Rethinking Cross-lingual Gaps from a Statistical Viewpoint
• Attentive Convolution: Unifying the Expressivity of Self-Attention with Convolutional Efficiency
• Stealing Neural Networks via Timing Side Channels
• Better Tokens for Better 3D: Advancing Vision-Language Modeling in 3D Medical Imaging
• TransTailor: Pruning the Pre-trained Model for Improved Transfer Learning
• Advances in Inference and Representation for Simultaneous Localization and Mapping
• ARC: A Vision-based Automatic Retail Checkout System
• Spatial Attention Point Network for Deep-learning-based Robust Autonomous Robot Motion Generation
• On the Power Saving in High-Speed Ethernet-based Networks for Supercomputers and Data Centers
• Study of Training Dynamics for Memory-Constrained Fine-Tuning
• BrainCognizer: Brain Decoding with Human Visual Cognition Simulation for fMRI-to-Image Reconstruction
• Precise classification of low quality G-banded Chromosome Images by reliability metrics and data pruning classifier
• Entity Embeddings of Categorical Variables
• A Semi-Parametric Estimation Method for the Quantile Spectrum with an Application to Earthquake Classification Using Convolutional Neural Network
• Layer-Parallel Training of Deep Residual Neural Networks
• Accelerated WGAN update strategy with loss change rate balancing
• A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
• Lipschitz regularity of deep neural networks: analysis and efficient estimation
• Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network
• Image augmentation with invertible networks in interactive satellite image change detection
• Visual Space Optimization for Zero-shot Learning
• Skin Cancer Recognition using Deep Residual Network
• Data-Driven Analysis of Intersectional Bias in Image Classification: A Framework with Bias-Weighted Augmentation
• Rethinking ResNets: Improved Stacking Strategies With High Order Schemes
• Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
• End-to-End Spoken Language Translation
• Towards In-Situ Failure Assessment: Deep Learning on DIC Results for Laminated Composites
• Large batch size training of neural networks with adversarial training and second-order information
• Learning from N-Tuple Data with M Positive Instances: Unbiased Risk Estimation and Theoretical Guarantees
• Deep Learning-Based Human Pose Estimation: A Survey
• MCANet: A Coherent Multimodal Collaborative Attention Network for Advanced Modulation Recognition in Adverse Noisy Environments
• BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
• Application of Deep Neural Networks to assess corporate Credit Rating
• Decoding Dynamic Visual Experience from Calcium Imaging via Cell-Pattern-Aware Pretraining
• Provable Generalization Bounds for Deep Neural Networks with Momentum-Adaptive Gradient Dropout
• FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers
• Deep Photovoltaic Nowcasting
• Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey
• Swin Transformer V2: Scaling Up Capacity and Resolution
• An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity
• Morphology-Aware KOA Classification: Integrating Graph Priors with Vision Models
• Automatic Classification of Circulating Blood Cell Clusters based on Multi-channel Flow Cytometry Imaging
• DRAMNet: Authentication based on Physical Unique Features of DRAM Using Deep Convolutional Neural Networks
• UMIche: A UMI-centric analysis platform for enhancing molecular quantification accuracy in bulk and single-cell sequencing
• Becoming episodic: The Development of Objectivity
• Application of CNN to a fine segmented scintillator detector for a single particle and neutrino-nucleon event
• Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies
• Semantic-E2VID: a Semantic-Enriched Paradigm for Event-to-Video Reconstruction
• Symmetries in PAC-Bayesian Learning
• End-to-end Phoneme Sequence Recognition using Convolutional Neural Networks
• Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising
• Themis: Fair and Efficient GPU Cluster Scheduling
• Fine-tuning Flow Matching Generative Models with Intermediate Feedback
• WP-CrackNet: A Collaborative Adversarial Learning Framework for End-to-End Weakly-Supervised Road Crack Detection
• Exploring Structural Degradation in Dense Representations for Self-supervised Learning
• Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads
• View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition
• ArmFormer: Lightweight Transformer Architecture for Real-Time Multi-Class Weapon Segmentation and Classification
• RSG: A Simple but Effective Module for Learning Imbalanced Datasets
• PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
• FOX-NAS: Fast, On-device and Explainable Neural Architecture Search
• AUGUSTUS: An LLM-Driven Multimodal Agent System with Contextualized User Memory
• Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training
• Moment-Based Domain Adaptation: Learning Bounds and Algorithms
• Rebooting Neuromorphic Hardware Design -- A Complexity Engineering Approach
• OpenEDS: Open Eye Dataset
• A deep learning approach to detecting volcano deformation from satellite imagery using synthetic datasets
• Video Swin Transformer
• CodeNet: Training Large Scale Neural Networks in Presence of Soft-Errors
• ELASTIC: Improving CNNs with Dynamic Scaling Policies
• Deep Variable-Block Chain with Adaptive Variable Selection
• Video-based Human Action Recognition using Deep Learning: A Review
• VM-BeautyNet: A Synergistic Ensemble of Vision Transformer and Mamba for Facial Beauty Prediction
• Deep generative priors for 3D brain analysis
• SimNets: A Generalization of Convolutional Networks
• A solution to generalized learning from small training sets found in infant repeated visual experiences of individual objects
• From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
• Multi-modal video data-pipelines for machine learning with minimal human supervision
• Accelerating Minibatch Stochastic Gradient Descent using Typicality Sampling
• Tutorial on Variational Autoencoders
• Semantic representations emerge in biologically inspired ensembles of cross-supervising neural networks
• A Multi-domain Image Translative Diffusion StyleGAN for Iris Presentation Attack Detection
• Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
• Efficient Learning of Distributed Linear-Quadratic Controllers
• MUSE: Model-based Uncertainty-aware Similarity Estimation for zero-shot 2D Object Detection and Segmentation
• On the expressivity of sparse maxout networks
• Composition-based Multi-Relational Graph Convolutional Networks
• Scaling Vision Transformers for Functional MRI with Flat Maps
• DeDelayed: Deleting Remote Inference Delay via On-Device Correction
• Graph Neural Networks: A Review of Methods and Applications
• Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study
• Accelerating Federated Learning via Momentum Gradient Descent
• O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference
• Multi-Agent Design Assistant for the Simulation of Inertial Fusion Energy
• Feature Denoising for Improving Adversarial Robustness
• The De-democratization of AI: Deep Learning and the Compute Divide in Artificial Intelligence Research
• Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery‐based brain computer interface
• Multi-Scale High-Resolution Logarithmic Grapher Module for Efficient Vision GNNs
• Randomness and Interpolation Improve Gradient Descent
• Plant leaf disease classification using EfficientNet deep learning model
• Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
• Layer Normalization
• Visual7W: Grounded Question Answering in Images
• AnyUp: Universal Feature Upsampling
• GenCellAgent: Generalizable, Training-Free Cellular Image Segmentation via Large Language Model Agents
• Feature extraction of machine learning and phase transition point of Ising model
• Convolution, attention and structure embedding
• A Regularized Convolutional Neural Network for Semantic Image Segmentation
• Cautious Weight Decay
• MetaFormer Is Actually What You Need for Vision
• Metronome: Efficient Scheduling for Periodic Traffic Jobs with Network and Priority Awareness
• Local Background Features Matter in Out-of-Distribution Detection
• Revisiting Meta-Learning with Noisy Labels: Reweighting Dynamics and Theoretical Guarantees
• SDGraph: Multi-Level Sketch Representation Learning by Sparse-Dense Graph Architecture
• Faster Meta Update Strategy for Noise-Robust Deep Learning
• Tackling Catastrophic Forgetting and Background Shift in Continual Semantic Segmentation
• Robustness May Be at Odds with Accuracy
• Unsupervised Learning of Object Keypoints for Perception and Control
• Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models
• R-Drop: Regularized Dropout for Neural Networks
• Lightweight CNN-Based Wi-Fi Intrusion Detection Using 2D Traffic Representations
• Cross Domain Image Matching in Presence of Outliers
• Fault Localization with Code Coverage Representation Learning
• Hierarchical Qubit-Merging Transformer for Quantum Error Correction
• High-resolution Photo Enhancement in Real-time: A Laplacian Pyramid Network
• Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles
• Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network
• An Overview of Attacks and Defences on Intelligent Connected Vehicles
• Generating Binary Tags for Fast Medical Image Retrieval Based on Convolutional Nets and Radon Transform
• Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization
• Text-Enhanced Panoptic Symbol Spotting in CAD Drawings
• Source-Free Object Detection with Detection Transformer
• NeuroSwift: A Lightweight Cross-Subject Framework for fMRI Visual Reconstruction of Complex Scenes
• Weeping and Gnashing of Teeth: Teaching Deep Learning in Image and Video Processing Classes
• PERMDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices
• ΔEnergy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization
• Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution
• Statistical Guarantees for High-Dimensional Stochastic Gradient Descent
• A compressed code for memory discrimination
• Restricted Receptive Fields for Face Verification
• dN/dx Reconstruction with Deep Learning for High-Granularity TPCs
• High-Dimensional Learning Dynamics of Quantized Models with Straight-Through Estimator
• A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net
• Deep learning methods based on cross-section images for predicting\n effective thermal conductivity of composites
• Learning the mapping x↦ ∑_i=1^d x_i²: the cost of finding the needle in a haystack
• GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer
• Can a powerful neural network be a teacher for a weaker neural network?
• CryptGPU: Fast Privacy-Preserving Machine Learning on the GPU
• Distributed Learning of Deep Neural Networks using Independent Subnet Training
• Automated machine learning: Review of the state-of-the-art and opportunities for healthcare
• Sketch Animation: State-of-the-art Report
• Understanding Notions of Stationarity in Non-Smooth Optimization
• A Large-Scale Benchmark for Food Image Segmentation
• Deep Learning using Linear Support Vector Machines
• Translution: Unifying Self-attention and Convolution for Adaptive and Relative Modeling
• Local-Global Context-Aware and Structure-Preserving Image Super-Resolution
• Automated Glaucoma Report Generation via Dual-Attention Semantic Parallel-LSTM and Multimodal Clinical Data Integration
• Stochastic Training is Not Necessary for Generalization
• Prismo: A Decision Support System for Privacy-Preserving ML Framework Selection
• Probabilistic Variational Contrastive Learning
• Machine learning in ant biology research: A systematic review
• Center-Focusing Multi-task CNN with Injected Features for Classification of Glioma Nuclear Images
• Small is Sufficient: Reducing the World AI Energy Consumption Through Model Selection
• Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies
• Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network
• Self-taught Object Localization with Deep Networks
• Understanding Character Recognition using Visual Explanations Derived from the Human Visual System and Deep Networks
• SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition
• DeepHash: Getting Regularization, Depth and Fine-Tuning Right
• Piecewise Linear Units Improve Deep Neural Networks
• OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation
• CAMAL: Context-Aware Multi-layer Attention framework for Lightweight Environment Invariant Visual Place Recognition
• Deep Neural Networks for Choice Analysis: Architectural Design with Alternative-Specific Utility Functions
• Architecture Induces Structural Invariant Manifolds of Neural Network Training Dynamics
• Deep prior-based denoising for state-of-the-art scientific imaging and metrology
• Needles in Haystacks: On Classifying Tiny Objects in Large Images
• Drill the Cork of Information Bottleneck by Inputting the Most Important Data
• SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
• Fully Convolutional Networks for Semantic Segmentation
• AS-MLP: An Axial Shifted MLP Architecture for Vision
• Learning Transferable Adversarial Examples via Ghost Networks
• AGDC: Automatic Garbage Detection and Collection
• Provable Watermarking for Data Poisoning Attacks
• Distributionally robust approximation property of neural networks
• Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models
• Integrating Specialized Classifiers Based on Continuous Time Markov Chain
• MAT-Agent: Adaptive Multi-Agent Training Optimization
• MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1 error rate. Ensembles overview and proposal
• VirDA: Reusing Backbone for Unsupervised Domain Adaptation with Visual Reprogramming
• Self-Training With Noisy Student Improves ImageNet Classification
• RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
• LieTransformer: Equivariant self-attention for Lie Groups
• Exploring Data Aggregation and Transformations to Generalize across Visual Domains
• Image Classification with Classic and Deep Learning Techniques
• The impact of abstract and object tags on image privacy classification
• DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
• Deep Neural Networks Inspired by Differential Equations
• C-Net: A Reliable Convolutional Neural Network for Biomedical Image Classification
• Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification
• DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing from Decentralised Data
• Rectifier Neural Network with a Dual-Pathway Architecture for Image Denoising
• Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians
• Joint Architecture and Knowledge Distillation in CNN for Chinese Text Recognition
• Sparse components distinguish visual pathways & their alignment to neural networks
• TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices
• What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors
• SGAS: Sequential Greedy Architecture Search
• Representation Learning from Limited Educational Data with Crowdsourced Labels
• Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage
• Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art
• Time-Frequency Analysis based Blind Modulation Classification for Multiple-Antenna Systems
• AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
• Learning Longterm Representations for Person Re-Identification Using Radio Signals
• A Unified Object Motion and Affinity Model for Online Multi-Object Tracking
• Temporal Accumulative Features for Sign Language Recognition
• Long-Tailed Recognition via Information-Preservable Two-Stage Learning
• Quick-CapsNet (QCN): A fast alternative to Capsule Networks
• Artificial Hippocampus Networks for Efficient Long-Context Modeling
• Label-frugal satellite image change detection with generative virtual exemplar learning
• Interactive reconstruction of Monte Carlo image sequences using a recurrent denoising autoencoder
• The dilemma of quantum neural networks
• Dataset Reuse: Toward Translating Principles to Practice
• A review of evolving remote sensing and automated techniques in rock glacier mapping
• ImageNet Large Scale Visual Recognition Challenge
• Random Erasing Data Augmentation
• CoEdge: Cooperative DNN Inference with Adaptive Workload Partitioning over Heterogeneous Edge Devices
• Rapid computation of high-level visual surprise
• SympNets: Intrinsic structure-preserving symplectic networks for identifying Hamiltonian systems
• Verifying Memoryless Sequential Decision-making of Large Language Models
• Associative Memory Model with Neural Networks: Memorizing multiple images with one neuron
• Shaken or Stirred? An Analysis of MetaFormer's Token Mixing for Medical Imaging
• TreeNet: Layered Decision Ensembles
• Riddled basin geometry sets fundamental limits to predictability and reproducibility in deep learning
• Multi-task Neural Networks for QSAR Predictions
• Learning the detector in optical tomography
• Computing frustration and near-monotonicity in deep neural networks
• Evaluation of fish feeding intensity in aquaculture using a convolutional neural network and machine vision
• Neuroplastic Modular Framework: Cross-Domain Image Classification of Garbage and Industrial Surfaces
• Beyond Random: Automatic Inner-loop Optimization in Dataset Distillation
• Visual Representations inside the Language Model
• Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
• Improving Large-Scale Recommender Systems with Auxiliary Learning
• Exploring the Efficacy of Modified Transfer Learning in Identifying Parkinson's Disease Through Drawn Image Patterns
• POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
• Improving Transferability of Adversarial Examples with Input Diversity
• Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps
• Continuous vs. Discrete Optimization of Deep Neural Networks
• FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
• Multi-Scale Aligned Distillation for Low-Resolution Detection
• A Mathematical Explanation of Transformers for Large Language Models and GPTs
• Using predefined vector systems as latent space configuration for neural network supervised training on data with arbitrarily large number of classes
• Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
• Quantization Range Estimation for Convolutional Neural Networks
• Interpolated Convolutional Networks for 3D Point Cloud Understanding
• ConvBERT: Improving BERT with Span-based Dynamic Convolution
• Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography
• End-to-end Active Object Tracking via Reinforcement Learning
• Generation and Comprehension of Unambiguous Object Descriptions
• Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers
• Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
• HAVIR: HierArchical Vision to Image Reconstruction using CLIP-Guided Versatile Diffusion
• Conditional Pseudo-Supervised Contrast for Data-Free Knowledge Distillation
• Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
• Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study
• Hyperparameter Loss Surfaces Are Simple Near their Optima
• Using Fourier Analysis and Mutant Clustering to Accelerate DNN Mutation Testing
• Visual Language Model as a Judge for Object Detection in Industrial Diagrams
• An Efficient Quality Metric for Video Frame Interpolation Based on Motion-Field Divergence
• Image Generation Based on Image Style Extraction
• Real-time Hand Gesture Detection and Classification Using Convolutional Neural Networks
• Fast Object Detection in Compressed Video
• Phase Collaborative Network for Two-Phase Medical Image Segmentation
• TextCAM: Explaining Class Activation Map with Text
• GLAI: GreenLightningAI for Accelerated Training through Knowledge Decoupling
• Latency-Aware Differentiable Neural Architecture Search
• Realization of spatial sparseness by deep ReLU nets with massive data
• Indices Matter: Learning to Index for Deep Image Matting
• Semantic Visual Simultaneous Localization and Mapping: A Survey on State of the Art, Challenges, and Future Directions
• AWAC: Accelerating Online Reinforcement Learning with Offline Datasets
• Max-Pooling Dropout for Regularization of Convolutional Neural Networks
• Hessian-Aware Pruning and Optimal Neural Implant
• Robust Context-Aware Object Recognition
• Signal Classification Recovery Across Domains Using Unsupervised Domain Adaptation
• Assessing Foundation Models for Mold Colony Detection with Limited Training Data
• Quantum Probabilistic Label Refining: Enhancing Label Quality for Robust Image Classification
• FourPhonon_GPU: A GPU-accelerated framework for calculating phonon scattering rates and thermal conductivity
• Uformer: A General U-Shaped Transformer for Image Restoration
• Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks
• Normal-Abnormal Guided Generalist Anomaly Detection
• On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
• Advances in Medical Image Segmentation: A Comprehensive Survey with a Focus on Lumbar Spine Applications
• Finding beans in burgers: Deep semantic-visual embedding with localization
• PointConv: Deep Convolutional Networks on 3D Point Clouds
• DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
• PhraseStereo: The First Open-Vocabulary Stereo Image Segmentation Dataset
• On zero-shot recognition of generic objects
• Time Series Forecasting With Deep Learning: A Survey
• Deep Neural Networks are Easily Fooled: High Confidence Predictions for\n Unrecognizable Images
• From Videos to Indexed Knowledge Graphs -- Framework to Marry Methods for Multimodal Content Analysis and Understanding
• Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning
• FARSA: Fully Automated Roadway Safety Assessment
• Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
• AIRCHITECT: Learning Custom Architecture Design and Mapping Space
• Benchmarking Deep Learning Convolutions on Energy-constrained CPUs
• From MNIST to ImageNet: Understanding the Scalability Boundaries of Differentiable Logic Gate Networks
• The Impact of Scaling Training Data on Adversarial Robustness
• Sharpness of Minima in Deep Matrix Factorization: Exact Expressions
• Using Images from a Video Game to Improve the Detection of Truck Axles
• Effective Model Pruning
• Hybrid Dual-Batch and Cyclic Progressive Learning for Efficient Distributed Training
• AttentionViG: Cross-Attention-Based Dynamic Neighbor Aggregation in Vision GNNs
• Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
• Spontaneous High-Order Generalization in Neural Theory-of-Mind Networks
• Accelerating Dynamic Image Graph Construction on FPGA for Vision GNNs
• Symmetry-Aware Bayesian Optimization via Max Kernels
• CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
• Automatic recognition of feeding and foraging behaviour in pigs using deep learning
• ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
• Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers
• Enabling Physical AI through Biological Principles
• Specialization after Generalization: Towards Understanding Test-Time Training in Foundation Models
• DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
• PEARL: Performance-Enhanced Aggregated Representation Learning
• Towards Foundation Models for Cryo-ET Subtomogram Analysis
• High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation
• BALF: Budgeted Activation-Aware Low-Rank Factorization for Fine-Tuning-Free Model Compression
• What Are We Automating? On the Need for Vision and Expertise When Deploying AI Systems
• Plant3R: Fusing 3D feature learning with Gaussian splatting to enhance wheat plant 3D reconstruction precision
• MLPerf Training Benchmark
• Learning to Diversify for Single Domain Generalization
• The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration
• Model Watermarking for Image Processing Networks
• A Consolidated Approach to Convolutional Neural Networks and the Kolmogorov Complexity
• Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics
• Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
• Exploring Uncertainty in Deep Learning for Construction of Prediction Intervals
• Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance
• Tent: Fully Test-time Adaptation by Entropy Minimization
• LifeCLEF Plant Identification Task 2014
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• Gradient Flow Convergence Guarantee for General Neural Network Architectures
• FairViT-GAN: A Hybrid Vision Transformer with Adversarial Debiasing for Fair and Explainable Facial Beauty Prediction
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• Towards Interpretable Visual Decoding with Attention to Brain Representations
• A Computational Perspective on NeuroAI and Synthetic Biological Intelligence
• Spatially Parallel All-optical Neural Networks
• QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
• Model-agnostic interpretation by visualization of feature perturbations
• Probabilistic Bearing Fault Diagnosis Using Gaussian Process with Tailored Feature Extraction
• Deep Learning Approaches with Explainable AI for Differentiating Alzheimer Disease and Mild Cognitive Impairment
• The unbearable slowness of being: Why do we live at 10 bits/s?
• Machine learning for synthetic gene circuit engineering
• Foundation models in bioinformatics
• Patch Rebirth: Toward Fast and Transferable Model Inversion of Vision Transformers
• Sparse, Collaborative, or Nonnegative Representation: Which Helps Pattern Classification?
• Leader Stochastic Gradient Descent for Distributed Training of Deep Learning Models: Extension
• Program-Guided Image Manipulators
• Metric-based Regularization and Temporal Ensemble for Multi-task Learning using Heterogeneous Unsupervised Tasks
• Stochastic Interpolants via Conditional Dependent Coupling
• HTMA-Net: Towards Multiplication-Avoiding Neural Networks via Hadamard Transform and In-Memory Computing
• DPFNAS: Differential Privacy-Enhanced Federated Neural Architecture Search for 6G Edge Intelligence
• Learning Modulated Loss for Rotated Object Detection
• Learning Generalizable Visual Representations via Interactive Gameplay
• CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity
• On Controlled DeEntanglement for Natural Language Processing
• Deep Learning for Oral Health: Benchmarking ViT, DeiT, BEiT, ConvNeXt, and Swin Transformer
• Adaptive and Iteratively Improving Recurrent Lateral Connections
• How Secure is Distributed Convolutional Neural Network on IoT Edge Devices?
• Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
• A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks
• MindCraft: How Concept Trees Take Shape In Deep Models
• PAPER: Privacy-Preserving Convolutional Neural Networks using Low-Degree Polynomial Approximations and Structural Optimizations on Leveled FHE
• Survey of Machine Learning Accelerators
• IONext: Unlocking the Next Era of Inertial Odometry
• A Sparse CNN Accelerator for Eliminating Redundant Computations in Intra- and Inter-Convolutional/Pooling Layers
• TSDM: Tracking by SiamRPN++ with a Depth-refiner and a Mask-generator
• Comparison and Benchmarking of AI Models and Frameworks on Mobile Devices
• Generative Image Modeling Using Spatial LSTMs
• Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks
• Visual Relationship Detection using Scene Graphs: A Survey
• Restructuring Batch Normalization to Accelerate CNN Training
• Mining Domain Knowledge: Improved Framework towards Automatically Standardizing Anatomical Structure Nomenclature in Radiotherapy
• A Learning-from-noise Dilated Wide Activation Network for denoising Arterial Spin Labeling (ASL) Perfusion Images
• On Embeddings in Relational Databases
• deepSELF: An Open Source Deep Self End-to-End Learning Framework
• Reconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks
• SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents
• Design of Reconfigurable Multi-Operand Adder for Massively Parallel Processing
• Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
• Progressive Weight Loading: Accelerating Initial Inference and Gradually Boosting Performance on Resource-Constrained Environments
• Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models
• Light Differentiable Logic Gate Networks
• Prophecy: Inferring Formal Properties from Neuron Activations
• A Data-driven Typology of Vision Models from Integrated Representational Metrics
• LANCE: Low Rank Activation Compression for Efficient On-Device Continual Learning
• Temporal vs. Spatial: Comparing DINOv3 and V-JEPA2 Feature Representations for Video Action Analysis
• AI for Sustainable Future Foods
• Mammo-CLIP Dissect: A Framework for Analysing Mammography Concepts in Vision-Language Models
• Deep Adversarially-Enhanced k-Nearest Neighbors
• Short-term Load Forecasting with Deep Residual Networks
• Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017)
• DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning
• Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
• Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
• The Taboo Trap: Behavioural Detection of Adversarial Samples
• Explanations can be manipulated and geometry is to blame
• MeshCNN: A Network with an Edge
• ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks
• Data Augmentation for Skin Lesion using Self-Attention based Progressive Generative Adversarial Network
• Audio-Visual Transformer Based Crowd Counting
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• On the basis of brain: neural-network-inspired changes in general-purpose chips
• Supervised Contrastive Learning
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• Embodied AI: From LLMs to World Models
• GridMask Data Augmentation
• Impact of Loss Weight and Model Complexity on Physics-Informed Neural Networks for Computational Fluid Dynamics
• Sobolev acceleration for neural networks
• Mamba Modulation: On the Length Generalization of Mamba
• Adaptive von Mises-Fisher Likelihood Loss for Supervised Deep Time Series Hashing
• PAC-Bayes Analysis of Sentence Representation
• Learning to see across Domains and Modalities
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• Not Only Look But Observe: Variational Observation Model of Scene-Level 3D Multi-Object Understanding for Probabilistic SLAM
• Deep Control - a simple automatic gain control for memory efficient and high performance training of deep convolutional neural networks
• Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference
• AutoGrow: Automatic Layer Growing in Deep Convolutional Networks
• Seesaw-Net: Convolution Neural Network With Uneven Group Convolution
• Structure-Aware Face Clustering on a Large-Scale Graph with \bf10⁷ Nodes
• Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning
• Multi-task Learning by Leveraging the Semantic Information
• Understanding Submodular Information Measure Based Objectives for Representation Learning: A Variance and Separation Perspective
• Deep(er) Learning
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• Hybrid Composition with IdleBlock: More Efficient Networks for Image Recognition
• Temporal Poisoning: Clean-Label Backdoors via Event Redistribution in SNNs
• Deep learning for brake squeal: vibration detection, characterization and prediction
• Multi Layer Neural Networks as Replacement for Pooling Operations
• Lets keep it simple, Using simple architectures to outperform deeper and\n more complex architectures
• Explorative Modeling: Unlocking a Third Pretraining Axis and End-to-End Generation
• Large-Scale Long-Tailed Recognition in an Open World
• Thinking in Scales: Accelerating Gigapixel Pathology Image Analysis via Adaptive Continuous Reasoning
• Artificial Intelligence Empowered New Materials: Discovery, Synthesis, Prediction to Validation
• Does the brain's ventral visual pathway compute object shape?
• Application of MobileNet and Xception neural networks to identify Sillago sihama populations in Vietnam's coastal waters based on otolith morphology
• Deep learning in plant phenotyping: the first ten years
• Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
• Quantitative Evaluations on Saliency Methods: An Experimental Study
• Deep learning‐based association analysis of root image data and cucumber yield
• Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition
• Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition
• Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation
• Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
• DAIL: Dataset-Aware and Invariant Learning for Face Recognition
• When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge
• T-BFA: Targeted Bit-Flip Adversarial Weight Attack
• Multi-path Neural Networks for On-device Multi-domain Visual Classification
• Channel Tiling for Improved Performance and Accuracy of Optical Neural Network Accelerators
• Dynamic DNN Decomposition for Lossless Synergistic Inference
• Accuracy and Architecture Studies of Residual Neural Network solving Ordinary Differential Equations
• Learning Curves for Analysis of Deep Networks
• Dream-Cubed: Controllable Generative Modeling in Minecraft by Training on Billions of Cubes
• Semantic Understanding of Scenes Through the ADE20K Dataset
• PotentialNet for Molecular Property Prediction
• CLIP-Adapter: Better Vision-Language Models with Feature Adapters
• Estimation error analysis of deep learning on the regression problem on the variable exponent Besov space
• Selecting Data Augmentation for Simulating Interventions
• Gesture Recognition for Initiating Human-to-Robot Handovers
• Composition-Aware Image Aesthetics Assessment
• Unsupervised Intuitive Physics from Past Experiences
• Fuzzy Semantic Segmentation of Breast Ultrasound Image with Breast Anatomy Constraints
• Medical Image Segmentation Using a U-Net type of Architecture
• Thanks for Nothing: Predicting Zero-Valued Activations with Lightweight Convolutional Neural Networks
• A Deep Learning Framework for Classification of in vitro Multi-Electrode Array Recordings
• Inductive Bias of Gradient Descent based Adversarial Training on Separable Data
• Zero-shifting Technique for Deep Neural Network Training on Resistive Cross-point Arrays
• Compact deep neural network models of the visual cortex
• Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition
• SEALing Neural Network Models in Secure Deep Learning Accelerators
• Quantum Energy Regression using Scattering Transforms
• Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution
• Dense Adaptive Cascade Forest: A Self Adaptive Deep Ensemble for Classification Problems
• Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild
• k-Nearest Neighbors by Means of Sequence to Sequence Deep Neural Networks and Memory Networks
• Application of Machine Learning for Aboveground Biomass Modeling in Tropical and Temperate Forests from Airborne Hyperspectral Imagery
• Use What You Know: Causal Foundation Models with Partial Graphs
• The steep cost of capture
• Monitoring urban construction and quarry blasts with low-cost seismic sensors and deep learning tools in the city of Oslo, Norway
• Identifying controlling factors of delta morphology using a convolutional autoencoder
• The Artificial Intelligence Cognitive Examination: A Survey on the Evolution of Multimodal Evaluation From Recognition to Reasoning
• EPick: Multi-Class Attention-based U-shaped Neural Network for Earthquake Detection and Seismic Phase Picking
• A Computer-Aided Diagnosis System for Breast Pathology: A Deep Learning Approach with Model Interpretability from Pathological Perspective
• A Performance Comparison of Loss Functions for Deep Face Recognition
• A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition
• Feature Space Augmentation for Long-Tailed Data
• On the Generalization Error Bounds of Neural Networks under Diversity-Inducing Mutual Angular Regularization
• Wireless for Machine Learning
• Auto-Encoding Twin-Bottleneck Hashing
• End-to-End Learning Local Multi-view Descriptors for 3D Point Clouds
• A Geometric Approach to Online Streaming Feature Selection
• Deep Affinity Net: Instance Segmentation via Affinity
• Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
• Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
• GRIPHIN: grids of pharmacophore interaction fields for affinity prediction
• The Brain Abstracted
• Edge-Enhanced Vision Transformer Framework for Accurate AI-Generated Image Detection
• Overcoming Data Sparsity in Group Recommendation
• Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification
• Not All Ops Are Created Equal!
• Handcrafted Backdoors in Deep Neural Networks
• A Survey of Autonomous Driving: Common Practices and Emerging Technologies
• What Do Single-view 3D Reconstruction Networks Learn?
• AutoFlow: Learning a Better Training Set for Optical Flow
• Algebraic Approach to Ridge-Regularized Mean Squared Error Minimization in Minimal ReLU Neural Network
• Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning
• Merchant Category Identification Using Credit Card Transactions
• Shape and Symmetry Induction for 3D Objects
• Detection of Furigana Text in Images
• Game-Theoretic Multiagent Reinforcement Learning
• Can We Faithfully Represent Masked States to Compute Shapley Values on a DNN?
• Robotic grasp detection using a novel two-stage approach
• TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
• LoCo: Local Contrastive Representation Learning
• Biologically-inspired Salience Affected Artificial Neural Network (SANN)
• Video Anomaly Detection by Estimating Likelihood of Representations
• A Sheaf and Topology Approach to Generating Local Branch Numbers in Digital Images
• Robustness and Transferability of Universal Attacks on Compressed Models
• Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation
• Uncertainty-driven ensembles of deep architectures for multiclass classification. Application to COVID-19 diagnosis in chest X-ray images
• Why Convolutional Networks Learn Oriented Bandpass Filters: Theory and Empirical Support
• DSRNA: Differentiable Search of Robust Neural Architectures
• ParaNet: Deep Regular Representation for 3D Point Clouds
• KVL-BERT: Knowledge Enhanced Visual-and-Linguistic BERT for Visual Commonsense Reasoning
• Meticulous Object Segmentation
• Quantum Computing Tools for Fast Detection of Gravitational Waves in the Context of LISA Space Mission
• Sketch-Specific Data Augmentation for Freehand Sketch Recognition
• Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
• The Sloop System for Individual Animal Identification with Deep Learning
• Assessing the Alignment of Popular CNNs to the Brain for Valence Appraisal
• ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation
• Emergent symbolic language based deep medical image classification
• Pure Vision Language Action (VLA) Models: A Comprehensive Survey
• Visual Recognition Using Directional Distribution Distance
• ViG-LRGC: Vision Graph Neural Networks with Learnable Reparameterized Graph Construction
• Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation
• Hardness-Aware Deep Metric Learning
• Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark
• Freehand Sketch Recognition Using Deep Features
• A Tutorial on Quantum Convolutional Neural Networks (QCNN)
• Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
• LEAF-Mamba: Local Emphatic and Adaptive Fusion State Space Model for RGB-D Salient Object Detection
• Density-embedding layers: a general framework for adaptive receptive fields
• A Scalable Lift-and-Project Differentiable Approach For the Maximum Cut Problem
• OmniFed: A Modular Framework for Configurable Federated Learning from Edge to HPC
• Machine learning approach to single-shot multiparameter estimation for the non-linear Schrödinger equation
• Automated Tracking of Primate Behavior
• Bounded PCTL Model Checking of Large Language Model Outputs
• Recognition Of Surface Defects On Steel Sheet Using Transfer Learning
• Detecting Deep Neural Network Defects with Data Flow Analysis
• Self-attention based BiLSTM-CNN classifier for the prediction of ischemic and non-ischemic cardiomyopathy
• Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization
• Towards Understanding and Modeling Empathy for Use in Motivational Design Thinking
• A Deep Ordinal Distortion Estimation Approach for Distortion Rectification
• SSFN -- Self Size-estimating Feed-forward Network with Low Complexity, Limited Need for Human Intervention, and Consistent Behaviour across Trials
• Six Sigma For Neural Networks: Taguchi-based optimization
• Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets
• Effectiveness of Data Augmentation in Cellular-based Localization Using Deep Learning
• DINOv3-Diffusion Policy: Self-Supervised Large Visual Model for Visuomotor Diffusion Policy Learning
• From Benchmarks to Reality: Advancing Visual Anomaly Detection by the VAND 3.0 Challenge
• Modeling Human Motion with Quaternion-based Neural Networks
• The Evolution of Neural Network-Based Chart Patterns: A Preliminary Study
• Neural network models and deep learning - a primer for biologists
• FPGA-based Accelerators of Deep Learning Networks for Learning and Classification: A Review
• Trustworthy Convolutional Neural Networks: A Gradient Penalized-based Approach
• A PMU-Based Machine Learning Application for Fast Detection of Forced Oscillations from Wind Farms
• Automatic Intermodal Loading Unit Identification using Computer Vision: A Scoping Review
• nDNA -- the Semantic Helix of Artificial Cognition
• SynergyNet: Fusing Generative Priors and State-Space Models for Facial Beauty Prediction
• SnipSnap: A Joint Compression Format and Dataflow Co-Optimization Framework for Efficient Sparse LLM Accelerator Design
• From handcrafted to deep local features
• Deep Clustering for Unsupervised Learning of Visual Features
• Guidelines and Benchmarks for Deployment of Deep Learning Models on\n Smartphones as Real-Time Apps
• A transfer learning method with deep residual network for pediatric pneumonia diagnosis
• Neural Network Based Framework for Passive Intermodulation Cancellation in MIMO Systems
• Bit-Flip Attack: Crushing Neural Network with Progressive Bit Search
• A multiscale neural network based on hierarchical nested bases
• SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
• Towards a Transparent and Interpretable AI Model for Medical Image Classifications
• Checking extracted rules in Neural Networks
• Randomized Smoothing Meets Vision-Language Models
• Ensemble Distillation for Robust Model Fusion in Federated Learning
• Deep learning algorithms for detection of diabetic retinopathy in retinal fundus photographs: A systematic review and meta-analysis
• Skeletal bone age prediction based on a deep residual network with spatial transformer
• A neural network approach to segment brain blood vessels in digital subtraction angiography
• ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning
• A vision transformer based approach for analysis of plasmodium vivax life cycle for malaria prediction using thin blood smear microscopic images
• A deep sift convolutional neural networks for total brain volume estimation from 3D ultrasound images
• Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
• Region-Aware Deformable Convolutions
• Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey
• Effect of the initial configuration of weights on the training and function of artificial neural networks
• Dissecting the Graphcore IPU Architecture via Microbenchmarking
• RGB-Only Supervised Camera Parameter Optimization in Dynamic Scenes
• Model Compression and Hardware Acceleration for Neural Networks: A Comprehensive Survey
• Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
• Crafting GBD-Net for Object Detection
• Structure-Preserving Margin Distribution Learning for High-Order Tensor Data with Low-Rank Decomposition
• Exploring Self-attention for Image Recognition
• Task-Aware Monocular Depth Estimation for 3D Object Detection
• White-box machine learning for uncovering physically interpretable dimensionless governing equations for granular materials
• Adaptable image quality assessment using meta-reinforcement learning of task amenability
• Domain Generalization via Multidomain Discriminant Analysis
• Pointing Novel Objects in Image Captioning
• Survey on semantic segmentation using deep learning techniques
• Deep Learning For Computer Vision Tasks: A review
• Open-World Class Discovery with Kernel Networks
• Dynamic Spectrum Matching with One-shot Learning
• Unsupervised Object-Level Representation Learning from Scene Images
• MARIC: Multi-Agent Reasoning for Image Classification
• Learning FRAME Models Using CNN Filters
• Incorporating Visual Cortical Lateral Connection Properties into CNN: Recurrent Activation and Excitatory-Inhibitory Separation
• Deep Predictive Coding Network for Object Recognition
• Probabilistic Neural Network with Complex Exponential Activation Functions in Image Recognition using Deep Learning Framework
• Techniques for visualizing LSTMs applied to electrocardiograms
• Can you hear me now? Sensitive comparisons of human and machine perception
• DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
• Towards Robust Defense against Customization via Protective Perturbation Resistant to Diffusion-based Purification
• Binary Classification of Light and Dark Time Traces of a Transition Edge Sensor Using Convolutional Neural Networks
• Embedding Label Structures for Fine-Grained Feature Representation
• Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation
• Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans
• A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
• TreeIRL: Safe Urban Driving with Tree Search and Inverse Reinforcement Learning
• Intelligent Vacuum Thermoforming Process
• RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
• Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Realistic Plate
• On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions
• Deep Learning for Design and Retrieval of Nano-photonic Structures
• Transfer Metric Learning: Algorithms, Applications and Outlooks
• Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm
• EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
• TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
• Revisiting Fine-tuning for Few-shot Learning
• BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers
• Multi-level Wavelet Convolutional Neural Networks
• High-resolution rainfall-runoff modeling using graph neural network
• DARTS: Deceiving Autonomous Cars with Toxic Signs
• A Robust and Precise ConvNet for small non-coding RNA classification\n (RPC-snRC)
• A Data-Aware Fourier Neural Operator for Modeling Spatiotemporal Electromagnetic Fields
• Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System
• Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification
• A Survey on Neural Architecture Search
• On the Decision Boundary of Deep Neural Networks
• A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
• Spherical Convolutional Neural Networks: Stability to Perturbations in SO(3)
• Advancing chest X-ray diagnostics: A novel CycleGAN-based preprocessing approach for enhanced lung disease classification in ChestX-Ray14
• Proposal Learning for Semi-Supervised Object Detection
• A Random Matrix Perspective on Mixtures of Nonlinearities for Deep Learning
• Overlearning Reveals Sensitive Attributes
• Toward Filament Segmentation Using Deep Neural Networks
• Microsoft COCO Captions: Data Collection and Evaluation Server
• Future Frame Prediction for Anomaly Detection -- A New Baseline
• Tubelets: Unsupervised action proposals from spatiotemporal super-voxels
• Scene Labeling with Contextual Hierarchical Models
• VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
• FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
• PhotoApp: Photorealistic Appearance Editing of Head Portraits
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• Beyond Triplet Loss: Meta Prototypical N-tuple Loss for Person Re-identification
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• SCA-PVNet: Self-and-cross attention based aggregation of point cloud and multi-view for 3D object retrieval
• Subject-independent Human Pose Image Construction with Commodity Wi-Fi
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• Determining the boundary of dynamical chaos in the generalized Chirikov map via machine learning
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• Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks
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• InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining
• Neural networks in the search for fast radio bursts with RATAN-600
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• An Advanced Convolutional Neural Network for Bearing Fault Diagnosis under Limited Data
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• Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer
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• Dropout drops double descent
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• Fast Haar Transforms for Graph Neural Networks
• Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach
• Wide Neural Networks Forget Less Catastrophically
• MPT: Motion Prompt Tuning for Micro-Expression Recognition
• Deep Learning for Automated Identification of Vietnamese Timber Species: A Tool for Ecological Monitoring and Conservation
• Towards Train-Test Consistency for Semi-supervised Temporal Action Localization
• A Finer Calibration Analysis for Adversarial Robustness
• Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning
• NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm
• Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
• Person Identification with Visual Summary for a Safe Access to a Smart Home
• Non-Parametric Calibration for Classification
• PatchGame: Learning to Signal Mid-level Patches in Referential Games
• Efficient motion-based metrics for video frame interpolation
• UniConvNet: Expanding Effective Receptive Field while Maintaining Asymptotically Gaussian Distribution for ConvNets of Any Scale
• Geometry-Aware Global Feature Aggregation for Real-Time Indirect Illumination
• Continual Learning in Neural Networks
• ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
• Deep Transform: Cocktail Party Source Separation via Complex Convolution in a Deep Neural Network
• Machine Learning Applications for Precision Agriculture: A Comprehensive Review
• Peer-Assisted Robotic Learning: A Data-Driven Collaborative Learning Approach for Cloud Robotic Systems
• Collegial Ensembles
• Transfer Learning for Melanoma Detection: Participation in ISIC 2017 Skin Lesion Classification Challenge
• Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
• Hashing as Tie-Aware Learning to Rank
• SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images
• Learning a Unified Embedding for Visual Search at Pinterest
• AI-Skin : Skin Disease Recognition based on Self-learning and Wide Data Collection through a Closed Loop Framework
• PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
• Image selective encryption analysis using mutual information in CNN based embedding space
• Forecasting Transportation Network Speed Using Deep Capsule Networks with Nested LSTM Models
• Continuous Perception for Classifying Shapes and Weights of Garmentsfor Robotic Vision Applications
• Automated Decision-based Adversarial Attacks
• Controlling Covariate Shift using Balanced Normalization of Weights
• Flexible Dataset Distillation: Learn Labels Instead of Images
• Implementation of Deep Neural Networks to Classify EEG Signals using Gramian Angular Summation Field for Epilepsy Diagnosis
• Sparse tree-based initialization for neural networks
• Reinforcement learning for batch bioprocess optimization
• Improving bug localization with word embedding and enhanced convolutional neural networks
• Defending Against Image Corruptions Through Adversarial Augmentations
• Interpretable CNNs for Object Classification
• Regularized Adaptation for Stable and Efficient Continuous-Level Learning on Image Processing Networks
• VulTriNet: A software vulnerability detection method based on tri-channel network
• Bidirectional LSTM-CRF for Clinical Concept Extraction
• An Intelligent Group Event Recommendation System in Social networks
• Understanding the Limitations of Variational Mutual Information Estimators
• CNN Acceleration by Low-rank Approximation with Quantized Factors
• Detecting Mislabeled and Corrupted Data via Pointwise Mutual Information
• Self-Supervised Representation Learning for Visual Anomaly Detection
• Active Learning for Breast Cancer Identification
• Cooperative Bi-path Metric for Few-shot Learning
• Comparison-Based Convolutional Neural Networks for Cervical Cell/Clumps Detection in the Limited Data Scenario
• Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification
• Lightweight Multi-Scale Feature Extraction with Fully Connected LMF Layer for Salient Object Detection
• Why Does Stochastic Gradient Descent Slow Down in Low-Precision Training?
• A Bayesian Data Augmentation Approach for Learning Deep Models
• Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images
• PU-Net: Point Cloud Upsampling Network
• Spatial-Separated Curve Rendering Network for Efficient and High-Resolution Image Harmonization
• Learning to Generate 3D Shapes with Generative Cellular Automata
• Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp
• Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
• MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction
• Diffeomorphic Neural Operator Learning
• Confounder Identification-free Causal Visual Feature Learning
• Position: Ideas Should be the Center of Machine Learning Research
• Multimodal learning with next-token prediction for large multimodal models
• Deep Convolutional Decision Jungle for Image Classification
• Lung sounds classification using convolutional neural networks
• Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review
• Medical knowledge embedding based on recursive neural network for multi-disease diagnosis
• Enhancing Recognition and Categorization of Skin Lesions with Tailored Deep Convolutional Networks and Robust Data Augmentation Techniques
• LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography
• LSM: Learning Subspace Minimization for Low-level Vision
• Divergent Search for Few-Shot Image Classification
• Fast Calculation of Probabilistic Power Flow: A Model-based Deep Learning Approach
• CornerNet: Detecting Objects as Paired Keypoints
• Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks
• Reinforced Evolutionary Neural Architecture Search
• Alleviating Mode Collapse in GAN via Diversity Penalty Module
• Deep joint demosaicking and denoising
• Affective Image Content Analysis: Two Decades Review and New Perspectives
• SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
• Fully Automatic Wound Segmentation with Deep Convolutional Neural Networks
• Parallel Deep Neural Networks Have Zero Duality Gap
• Facial Information Analysis Technology for Gender and Age Estimation
• Deep learning applications advance plant genomics research
• Being-ahead: Benchmarking and Exploring Accelerators for Hardware-Efficient AI Deployment
• Learning Representations of Satellite Images with Evaluations on Synoptic Weather Events
• Recurrent Deep Differentiable Logic Gate Networks
• Zero-Shot Learning by Convex Combination of Semantic Embeddings
• Adaptive Verifiable Training Using Pairwise Class Similarity
• Synthetic Data Generation for Emotional Depth Faces: Optimizing Conditional DCGANs via Genetic Algorithms in the Latent Space and Stabilizing Training with Knowledge Distillation
• Multi-view Gaze Target Estimation
• Re-evaluating Evaluation
• Cognitive computational neuroscience
• Regularized Evolutionary Population-Based Training
• Optimising the Performance of Convolutional Neural Networks across Computing Systems using Transfer Learning
• A geometry-inspired decision-based attack
• Keep It Real: Challenges in Attacking Compression-Based Adversarial Purification
• Input Invex Neural Network
• A Study of Gender Classification Techniques Based on Iris Images: A Deep Survey and Analysis
• Real-time Detection of Practical Universal Adversarial Perturbations
• Multi-Labelled Value Networks for Computer Go
• Rotation Equivariant Arbitrary-scale Image Super-Resolution
• Digital Twin Channel-Aided CSI Prediction: An Environment-Based Subspace Extraction Approach for Achieving Low Overhead and High Robustness
• ULU: A Unified Activation Function
• Towards Imperceptible Universal Attacks on Texture Recognition
• Tesserae: Scalable Placement Policies for Deep Learning Workloads
• Self-Error Adjustment: Theory and Practice of Balancing Individual Performance and Diversity in Ensemble Learning
• Smaller Models, Better Generalization
• Toward Errorless Training ImageNet-1k
• Pulmonary embolism identification in computerized tomography pulmonary angiography scans with deep learning technologies in COVID-19 patients
• Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction
• SoildNet: Soiling Degradation Detection in Autonomous Driving
• Combined Image Data Augmentations diminish the benefits of Adaptive Label Smoothing
• Robust Processing-In-Memory Neural Networks via Noise-Aware Normalization
• Metric Learning in an RKHS
• PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media
• DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials
• Adaptive Neuron-wise Discriminant Criterion and Adaptive Center Loss at Hidden Layer for Deep Convolutional Neural Network
• From Flat to Round: Redefining Brain Decoding with Surface-Based fMRI and Cortex Structure
• A2Mamba: Attention-augmented State Space Models for Visual Recognition
• Automated ultrasound doppler angle estimation using deep learning
• Energy-Efficient Real-Time 4-Stage Sleep Classification at 10-Second Resolution: A Comprehensive Study
• Age-Diverse Deepfake Dataset: Bridging the Age Gap in Deepfake Detection
• Slice or the Whole Pie? Utility Control for AI Models
• Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
• Ethics through the Facets of Artificial Intelligence
• Deep Cross Residual Learning for Multitask Visual Recognition
• Learning to Combat Noisy Labels via Classification Margins
• Deep learning framework for crater detection and identification on the Moon and Mars
• Training Deep Neural Networks via Branch-and-Bound
• A Camera free fiber speckle wavemeter
• Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance
• Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning-Based Approach
• CADD: Context aware disease deviations via restoration of brain images using normative conditional diffusion models
• Relationship-Embedded Representation Learning for Grounding Referring Expressions
• Deep Reasoning with Multi-Scale Context for Salient Object Detection
• A Scalable Optimization Mechanism for Pairwise based Discrete Hashing
• Zero Shot Domain Adaptive Semantic Segmentation by Synthetic Data Generation and Progressive Adaptation
• The Power of Many: Synergistic Unification of Diverse Augmentations for Efficient Adversarial Robustness
• QuantNet: Learning to Quantize by Learning within Fully Differentiable Framework
• RoIFusion: 3D Object Detection from LiDAR and Vision
• Where and How to Enhance: Discovering Bit-Width Contribution for Mixed Precision Quantization
• TrackNet: A Deep Learning Network for Tracking High-speed and Tiny Objects in Sports Applications
• The Geometry of Cortical Computation: Manifold Disentanglement and Predictive Dynamics in VCNet
• Fully-Convolutional Siamese Networks for Object Tracking
• Domain Adaptation with Incomplete Target Domains
• Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
• Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net
• Infrared Object Detection with Ultra Small ConvNets: Is ImageNet Pretraining Still Useful?
• Evaluation and Analysis of Deep Neural Transformers and Convolutional Neural Networks on Modern Remote Sensing Datasets
• Graph Classification Based on Skeleton and Component Features
• Towards Compact and Robust Deep Neural Networks
• FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network Pruning
• After the Party: Navigating the Mapping From Color to Ambient Lighting
• Deep Learning Face Representation by Joint Identification-Verification
• Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
• Tackling Ill-posedness of Reversible Image Conversion with Well-posed Invertible Network
• Combining Ensembles and Data Augmentation can Harm your Calibration
• Defending Against Adversarial Attacks Using Random Forests
• GlaBoost: A multimodal Structured Framework for Glaucoma Risk Stratification
• Composite Quantization
• Improving Noise Efficiency in Privacy-preserving Dataset Distillation
• RaftMLP: How Much Can Be Done Without Attention and with Less Spatial Locality?
• Pulse Shape Discrimination Algorithms: Survey and Benchmark
• Discrete Rotation Equivariance for Point Cloud Recognition
• Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
• Deep Built-Structure Counting in Satellite Imagery Using Attention Based Re-Weighting
• Reconstructing Trust Embeddings from Siamese Trust Scores: A Direct-Sum Approach with Fixed-Point Semantics
• Intensity augmentation for domain transfer of whole breast segmentation in MRI
• Increasing the Generalisation Capacity of Conditional VAEs
• NemaNet: A convolutional neural network model for identification of nematodes soybean crop in brazil
• Robust Visual Knowledge Transfer via EDA
• Translating Math Formula Images to LaTeX Sequences Using Deep Neural Networks with Sequence-level Training
• Partial observations and conservation laws: Grey-box modeling in biotechnology and optogenetics
• Improving 3D Object Detection through Progressive Population Based Augmentation
• Yelp Food Identification via Image Feature Extraction and Classification
• Fusion Sampling Validation in Data Partitioning for Machine Learning
• A Simple and Effective Method for Uncertainty Quantification and OOD Detection
• Imbalanced Deep Learning by Minority Class Incremental Rectification
• Residual-CNDS for Grand Challenge Scene Dataset
• Entropy-Based Uncertainty Calibration for Generalized Zero-Shot Learning
• Learning Competitive and Discriminative Reconstructions for Anomaly Detection
• Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
• Initialization Strategies of Spatio-Temporal Convolutional Neural Networks
• Dream, Lift, Animate: From Single Images to Animatable Gaussian Avatars
• UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken
• Variational Autoencoder-Based Black-Box Adversarial Attack on Collaborative DNN Inference
• Sinusoidal Approximation Theorem for Kolmogorov-Arnold Networks
• ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network
• EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes
• L-GTA: Latent Generative Modeling for Time Series Augmentation
• Beyond Linear Bottlenecks: Spline-Based Knowledge Distillation for Culturally Diverse Art Style Classification
• Learn molecular representations from large-scale unlabeled molecules for drug discovery
• Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning
• Flow Contrastive Estimation of Energy-Based Models
• Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference
• Do We Need Fully Connected Output Layers in Convolutional Networks?
• Foundations and Models in Modern Computer Vision: Key Building Blocks in Landmark Architectures
• Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data
• Your Spending Needs Attention: Modeling Financial Habits with Transformers
• Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
• How deep should be the depth of convolutional neural networks: a backyard dog case study
• CADDA: Class-wise Automatic Differentiable Data Augmentation for EEG Signals
• SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning
• Describing Unseen Videos via Multi-Modal Cooperative Dialog Agents
• Graph Lineages and Skeletal Graph Products
• An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
• JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures
• Investigating the Invertibility of Multimodal Latent Spaces: Limitations of Optimization-Based Methods
• Tricks and Plug-ins for Gradient Boosting in Image Classification
• Multi-lane Detection Using Instance Segmentation and Attentive Voting
• Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image
• Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future
• Machine Learning for Detecting Data Exfiltration: A Review
• Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling
• A Survey on Efficiency Optimization Techniques for DNN-based Video Analytics: Process Systems, Algorithms, and Applications
• DACA-Net: A Degradation-Aware Conditional Diffusion Network for Underwater Image Enhancement
• Crowding in humans is unlike that in convolutional neural networks
• You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection
• Agentic Privacy-Preserving Machine Learning
• RCR-AF: Enhancing Model Generalization via Rademacher Complexity Reduction Activation Function
• Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving
• Knowledge-augmented Column Networks: Guiding Deep Learning with Advice
• StarNet: Targeted Computation for Object Detection in Point Clouds
• FDNAS: Improving Data Privacy and Model Diversity in AutoML
• Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning
• TIR-Diffusion: Diffusion-based Thermal Infrared Image Denoising via Latent and Wavelet Domain Optimization
• Moiré Zero: An Efficient and High-Performance Neural Architecture for Moiré Removal
• Object Recognition Datasets and Challenges: A Review
• From Waveforms to Pixels: A Survey on Audio-Visual Segmentation
• CTG-Insight: A Multi-Agent Interpretable LLM Framework for Cardiotocography Analysis and Classification
• AI in Agriculture: A Survey of Deep Learning Techniques for Crops, Fisheries and Livestock
• Shallow Deep Learning Can Still Excel in Fine-Grained Few-Shot Learning
• SwinECAT: A Transformer-based fundus disease classification model with Shifted Window Attention and Efficient Channel Attention
• Model compression as constrained optimization, with application to neural nets. Part V: combining compressions
• Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization
• Automatic Building Extraction in Aerial Scenes Using Convolutional Networks
• NUMA-aware FFT-based Convolution on ARMv8 Many-core CPUs
• Deep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition
• Zero-Shot Machine Unlearning with Proxy Adversarial Data Generation
• Efficient Neural Architecture Transformation Searchin Channel-Level for Object Detection
• Exploring the Link Between Bayesian Inference and Embodied Intelligence: Toward Open Physical-World Embodied AI Systems
• Boost Self-Supervised Dataset Distillation via Parameterization, Predefined Augmentation, and Approximation
• Shaping the future of myopia with artificial intelligence: Mapping trends and promising directions
• A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
• Quantum optical shallow networks
• MGN-Net: a multi-view graph normalizer for integrating heterogeneous biological network populations
• Mask-Free Audio-driven Talking Face Generation for Enhanced Visual Quality and Identity Preservation
• Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service
• Demystifying Learning Rate Policies for High Accuracy Training of Deep Neural Networks
• An Adaptive Random Fourier Features approach Applied to Learning Stochastic Differential Equations
• Embracing the Unreliability of Memory Devices for Neuromorphic Computing
• Progressive Cluster Purification for Transductive Few-shot Learning
• Class Subset Selection for Transfer Learning using Submodularity
• Deep learning based mood tagging for Chinese song lyrics
• Learning to Read by Spelling: Towards Unsupervised Text Recognition
• Adversarial Structure Matching for Structured Prediction Tasks
• Fine-grained Recognition Datasets for Biodiversity Analysis
• Aggregating Deep Convolutional Features for Image Retrieval
• Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models
• Unsupervised Visual Representation Learning by Online Constrained K-Means
• Adaptive Fuzzy Time Series Forecasting via Partially Asymmetric Convolution and Sub-Sliding Window Fusion
• Modelling Diffuse Subcellular Protein Structures as Dynamic Social Networks
• Denoising convolutional autoencoder based B-mode ultrasound tongue image feature extraction
• FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling
• Telugu OCR Framework using Deep Learning
• Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification
• Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations
• Surrogate-assisted Particle Swarm Optimisation for Evolving Variable-length Transferable Blocks for Image Classification
• LTD: Low Temperature Distillation for Gradient Masking-free Adversarial Training
• Learning to Branch for Multi-Task Learning
• Advances and Challenges in Deep Lip Reading
• A Sparse Coding Interpretation of Neural Networks and Theoretical Implications
• TDAPNet: Prototype Network with Recurrent Top-Down Attention for Robust Object Classification under Partial Occlusion
• Generative Pre-training for Subjective Tasks: A Diffusion Transformer-Based Framework for Facial Beauty Prediction
• Computational Advantages of Multi-Grade Deep Learning: Convergence Analysis and Performance Insights
• Deep Neural Networks for Blind Image Quality Assessment: Addressing the Data Challenge
• Learning Smooth Representation for Unsupervised Domain Adaptation
• Real-time PCG Anomaly Detection by Adaptive 1D Convolutional Neural Networks
• CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations
• Giving Up Control: Neurons as Reinforcement Learning Agents
• Robust Deep Graph Based Learning for Binary Classification
• Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation from a Blackbox Model
• MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation
• SuperNet -- An efficient method of neural networks ensembling
• ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks
• SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes
• Color histogram equalization and fine-tuning to improve expression recognition of (partially occluded) faces on sign language datasets
• Fast Crack Detection Using Convolutional Neural Network
• Machine Learning With Neuromorphic Photonics
• Dataset Distillation with Infinitely Wide Convolutional Networks
• A roadmap for AI in robotics
• A mini-batch training strategy for deep subspace clustering networks
• Rethinking on Multi-Stage Networks for Human Pose Estimation
• StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
• Compact Hash Code Learning with Binary Deep Neural Network
• Visual Tracking via Dynamic Memory Networks
• Do We Need Sound for Sound Source Localization?
• Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
• Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
• A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research
• Learning Spatio-Temporal Features with Two-Stream Deep 3D CNNs for Lipreading
• Adaptive Label Smoothing
• Role of Intonation in Scoring Spoken English
• FBNetV3: Joint Architecture-Recipe Search using Predictor Pretraining
• Probabilistic bounds on neuron death in deep rectifier networks
• Intra-Model Collaborative Learning of Neural Networks
• Putting visual object recognition in context
• Demographic-aware fine-grained visual recognition of pediatric wrist pathologies
• Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound
• SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
• Higher-order Graph Convolutional Networks
• Scale-aware Automatic Augmentation for Object Detection
• TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces
• YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis
• Deep learning for lithological classification of carbonate rock micro-CT images
• Localizing Discriminative Visual Landmarks for Place Recognition
• Neural-Symbolic Descriptive Action Model from Images: The Search for STRIPS
• BRIEF: Backward Reduction of CNNs with Information Flow Analysis
• Neural Graph Embedding Methods for Natural Language Processing
• On Generalization Bounds of a Family of Recurrent Neural Networks
• Edge-Semantic Learning Strategy for Layout Estimation in Indoor Environment
• Non-Gaussianity of Stochastic Gradient Noise
• Efficient Structured Pruning and Architecture Searching for Group Convolution
• Deep learning for Chemometric and non-translational data
• Norm-preserving Orthogonal Permutation Linear Unit Activation Functions (OPLU)
• Towards a Robust Deep Neural Network in Texts: A Survey
• Universal approximations of permutation invariant/equivariant functions by deep neural networks
• Learning by Design: Structuring and Documenting the Human Choices in Machine Learning Development
• Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV
• Semantic Image Segmentation via Deep Parsing Network
• DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks
• POIRot: A rotation invariant omni-directional pointnet
• MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning
• YOLO for Knowledge Extraction from Vehicle Images: A Baseline Study
• Large-time asymptotics in deep learning
• Handling Out-of-Distribution Data: A Survey
• Target Driven Instance Detection
• Low-memory convolutional neural networks through incremental depth-first processing
• Multi-Bias Non-linear Activation in Deep Neural Networks
• Detecting Driveable Area for Autonomous Vehicles
• Improving the HardNet Descriptor
• On Arbitrary Predictions from Equally Valid Models
• RealDeal: Enhancing Realism and Details in Brain Image Generation via Image-to-Image Diffusion Models
• Group Activity Prediction with Sequential Relational Anticipation Model
• Class-dependent Compression of Deep Neural Networks
• A Closed-Form Learned Pooling for Deep Classification Networks
• RECAL: Reuse of Established CNN classifer Apropos unsupervised Learning paradigm
• The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade
• The Dynamics of Handwriting Improves the Automated Diagnosis of Dysgraphia
• Mixture separability loss in a deep convolutional network for image classification
• Collaborative Spatio-temporal Feature Learning for Video Action Recognition
• BiPointNet: Binary Neural Network for Point Clouds
• Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition
• SemiSegECG: A Multi-Dataset Benchmark for Semi-Supervised Semantic Segmentation in ECG Delineation
• Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
• ChronoSelect: Robust Learning with Noisy Labels via Dynamics Temporal Memory
• Multi-adversarial Faster-RCNN for Unrestricted Object Detection
• Trade-off between deep learning for species identification and inference about predator-prey co-occurrence
• Scaling Recommender Transformers to One Billion Parameters
• On Learning Where To Look
• Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows
• Convolutional Nonlinear Dictionary with Cascaded Structure Filter Banks
• Mid-level Elements for Object Detection
• Patchy Image Structure Classification Using Multi-Orientation Region Transform
• Handcrafted vs Deep Learning Classification for Scalable Video QoE Modeling
• The Impact of GPU DVFS on the Energy and Performance of Deep Learning: an Empirical Study
• Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
• A Semantic Indexing Structure for Image Retrieval
• Window-Object Relationship Guided Representation Learning for Generic Object Detections
• Visual Place Recognition for Large-Scale UAV Applications
• Object segmentation in the wild with foundation models: application to vision assisted neuro-prostheses for upper limbs
• Audio Visual Emotion Recognition with Temporal Alignment and Perception Attention
• Towards calibrated and scalable uncertainty representations for neural networks
• AIDA: Associative DNN Inference Accelerator
• Memory Matters: Convolutional Recurrent Neural Network for Scene Text Recognition
• Quantum Machine Learning Playground
• Dissecting the effectiveness of deep features as metric of perceptual image quality
• Why Divisive Normalization works in image segmentation?
• FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
• Traversing the noise of dynamic mini-batch sub-sampled loss functions: A visual guide
• Joint Spatial and Layer Attention for Convolutional Networks
• Reconstructing A Large Scale 3D Face Dataset for Deep 3D Face Identification
• Joint Learning of Distributed Representations for Images and Texts
• Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation
• Federated Learning with Domain Generalization
• Applying deep learning to classify pornographic images and videos
• Opportunities for Analog Coding in Emerging Memory Systems
• Aspect-based Opinion Summarization with Convolutional Neural Networks
• Fine-Grained Classification via Mixture of Deep Convolutional Neural Networks
• Hierarchical Invariant Feature Learning with Marginalization for Person Re-Identification
• On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
• DARI: Distance metric And Representation Integration for Person Verification
• Comparing Classes of Estimators: When does Gradient Descent Beat Ridge Regression in Linear Models?
• Understanding Deep Image Representations by Inverting Them
• Situational Fusion of Visual Representation for Visual Navigation
• NEUZZ: Efficient Fuzzing with Neural Program Smoothing
• A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks
• Deep learning empowers genomic selection of pest-resistant grapevine
• Microscopic image processing platform for multi-class cell segmentation using deep learning
• Weakly Supervised PET Tumor Detection Using Class Response
• How Much Can We Really Trust You? Towards Simple, Interpretable Trust Quantification Metrics for Deep Neural Networks
• Deep multi-modal networks for book genre classification based on its cover
• Legal infrastructure for transformative AI governance
• Transfer Learning in Visual and Relational Reasoning
• A* Tree Search for Portfolio Management
• Multi-Language Identification Using Convolutional Recurrent Neural Network
• Parsimonious Bayesian deep networks
• Localization-aware Channel Pruning for Object Detection
• Training Meta-Surrogate Model for Transferable Adversarial Attack
• Unsupervised Person Re-identification via Softened Similarity Learning
• Learning Wake-Sleep Recurrent Attention Models
• Pinpointing the Memory Behaviors of DNN Training
• Deep Cross-Modal Hashing
• Machine learning in geo- and environmental sciences: From small to large scale
• Spatio-temporal Video Re-localization by Warp LSTM
• Clinical applications of deep learning in breast MRI
• A Novel Downsampling Strategy Based on Information Complementarity for Medical Image Segmentation
• Deep reinforcement learning for inventory control: A roadmap
• Dementia Severity Classification under Small Sample Size and Weak Supervision in Thick Slice MRI
• Exploring and Improving Mobile Level Vision Transformers
• PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking
• Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
• Evolutionary Ensemble Learning for Multivariate Time Series Prediction
• Data Sanity Check for Deep Learning Systems via Learnt Assertions
• Semantic Correlation Promoted Shape-Variant Context for Segmentation
• A Benchmark Comparison of Visual Place Recognition Techniques for Resource-Constrained Embedded Platforms
• Deep Learning with S-shaped Rectified Linear Activation Units
• Orthogonal Convolutional Neural Networks
• Creative Captioning: An AI Grand Challenge Based on the Dixit Board Game
• Efficient Hardware Realizations of Feedforward Artificial Neural Networks
• Boosting Black-Box Adversarial Attacks with Meta Learning
• Pathology-Aware Generative Adversarial Networks for Medical Image Augmentation
• Large Scale Font Independent Urdu Text Recognition System
• MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning
• Low-light Image Enhancement Algorithm Based on Retinex and Generative Adversarial Network
• CSGAN: Cyclic-Synthesized Generative Adversarial Networks for Image-to-Image Transformation
• Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification
• How Much Does Audio Matter to Recognize Egocentric Object Interactions?
• On the Exploitation of Neuroevolutionary Information: Analyzing the Past for a More Efficient Future
• Locality Preserving Joint Transfer for Domain Adaptation
• Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
• AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation
• Rectal cancer: Toward fully automatic discrimination of T2 and T3 rectal cancers using deep convolutional neural network
• Industry and Academic Research in Computer Vision
• Non-Local ConvLSTM for Video Compression Artifact Reduction
• Neural Architecture Dilation for Adversarial Robustness
• Feature Level Fusion from Facial Attributes for Face Recognition
• Contributions to Large Scale Bayesian Inference and Adversarial Machine Learning
• Matching Distributions via Optimal Transport for Semi-Supervised Learning
• Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
• M-ar-K-Fast Independent Component Analysis
• Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
• Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification
• Image Generators are Generalist Vision Learners
• Optimization and Generalization of Regularization-Based Continual Learning: a Loss Approximation Viewpoint
• Persistent Evidence of Local Image Properties in Generic ConvNets
• On Vectorization of Deep Convolutional Neural Networks for Vision Tasks
• Stingray Detection of Aerial Images Using Augmented Training Images Generated by A Conditional Generative Model
• Ensemble Learning based on Classifier Prediction Confidence and Comprehensive Learning Particle Swarm Optimisation for polyp localisation
• MetaAugment: Sample-Aware Data Augmentation Policy Learning
• Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks
• VISALOGY: Answering Visual Analogy Questions
• Learning a Continuous Representation of 3D Molecular Structures with Deep Generative Models
• SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold
• SiamVGG: Visual Tracking using Deeper Siamese Networks
• Improving Image Captioning by Leveraging Knowledge Graphs
• Detecting Adversarial Patches with Class Conditional Reconstruction Networks
• Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax
• ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning
• Online Algorithms and Policies Using Adaptive and Machine Learning Approaches
• Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
• Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
• SafeAccess+: An Intelligent System to make Smart Home Safer and Americans with Disability Act Compliant
• Significant Wave Height Prediction based on Wavelet Graph Neural Network
• A GPU-Outperforming FPGA Accelerator Architecture for Binary Convolutional Neural Networks
• Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection
• What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots
• Altitude Training: Strong Bounds for Single-Layer Dropout
• Diabetic Retinopathy Detection via Deep Convolutional Networks for Discriminative Localization and Visual Explanation
• Tissue characterization based on the analysis on i3DUS data for diagnosis support in neurosurgery
• ORACLE: Optimized Radio clAssification through Convolutional neuraL nEtworks
• Point in, Box out: Beyond Counting Persons in Crowds
• Labeled Data Generation with Inexact Supervision
• Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
• ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation
• Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization
• Image Matters: Visually modeling user behaviors using Advanced Model Server
• Multi-task Supervised Learning via Cross-learning
• Local Model Feature Transformations
• Out-distribution aware Self-training in an Open World Setting
• Reappraising Domain Generalization in Neural Networks
• Adversarial Distillation for Ordered Top-k Attacks
• Interpretation of Feature Space using Multi-Channel Attentional Sub-Networks
• Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
• Performance landscape of resource-constrained platforms targeting DNNs
• CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
• Spectral Tensor Train Parameterization of Deep Learning Layers
• Practical Relative Order Attack in Deep Ranking
• AutoEG: Automated Experience Grafting for Off-Policy Deep Reinforcement Learning
• Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
• The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks
• Large-scale Kernel Methods and Applications to Lifelong Robot Learning
• RTN: Reparameterized Ternary Network
• FOTS: Fast Oriented Text Spotting with a Unified Network
• Multilayer Collaborative Low-Rank Coding Network for Robust Deep Subspace Discovery
• ElixirNet: Relation-aware Network Architecture Adaptation for Medical Lesion Detection
• Modeling Image Virality with Pairwise Spatial Transformer Networks
• Sparse Transfer Learning via Winning Lottery Tickets
• Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings
• Open-World Entity Segmentation
• BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks
• Negative Margin Matters: Understanding Margin in Few-shot Classification
• A multiscale neural network based on hierarchical matrices
• Image Augmentations for GAN Training
• Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
• Places205-VGGNet Models for Scene Recognition
• Blind Adversarial Network Perturbations
• Electricity Theft Detection with self-attention
• Temporal Probability Calibration
• MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
• Residual Continual Learning
• MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
• ChainerCV: a Library for Deep Learning in Computer Vision
• Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework
• Temperature check: theory and practice for training models with softmax-cross-entropy losses
• Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms
• Faceness-Net: Face Detection through Deep Facial Part Responses
• Efficient Pre-trained Features and Recurrent Pseudo-Labeling in Unsupervised Domain Adaptation
• Lifelong Learning with Searchable Extension Units
• Self-Supervised Contextual Bandits in Computer Vision
• XAI-Guided Analysis of Residual Networks for Interpretable Pneumonia Detection in Paediatric Chest X-rays
• CALPA-NET: Channel-pruning-assisted Deep Residual Network for Steganalysis of Digital Images
• SapAugment: Learning A Sample Adaptive Policy for Data Augmentation
• In Proximity of ReLU DNN, PWA Function, and Explicit MPC
• AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising
• asya: Mindful verbal communication using deep learning
• RSINet: Rotation-Scale Invariant Network for Online Visual Tracking
• OpenEI: An Open Framework for Edge Intelligence
• Deep Heterogeneous Feature Fusion for Template-Based Face Recognition
• Muddling Label Regularization: Deep Learning for Tabular Datasets
• Yield Loss Reduction and Test of AI and Deep Learning Accelerators
• Contextual Prediction Difference Analysis for Explaining Individual Image Classifications
• Accelerating Very Deep Convolutional Networks for Classification and Detection
• In Defense of the Direct Perception of Affordances
• Quantum Boltzmann Machines using Parallel Annealing for Medical Image Classification
• The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection
• Adversarial Learning with Margin-based Triplet Embedding Regularization
• Semantic and Visual Similarities for Efficient Knowledge Transfer in CNN Training
• Prediction of Carbon Nanostructure Mechanical Properties and Role of Defects Using Machine Learning
• Learning to Sort Image Sequences via Accumulated Temporal Differences
• Enhancing Multi-Robot Perception via Learned Data Association
• Implementation of Fruits Recognition Classifier using Convolutional Neural Network Algorithm for Observation of Accuracies for Various Hidden Layers
• Translational application of a self-organized deep feature engineering pipeline for non-invasive pulmonary hypertension classification from routine chest radiographs
• PASS: Peer-agreement based sample selection for training with instance dependent noisy labels
• SolarNet: A Deep Learning Framework to Map Solar Power Plants In China From Satellite Imagery
• Benchmarking Physical Performance of Neural Inference Circuits
• A Survey of Coded Distributed Computing
• Grasping Detection Network with Uncertainty Estimation for Confidence-Driven Semi-Supervised Domain Adaptation
• Depthwise Convolution is All You Need for Learning Multiple Visual Domains
• Optimizing the Whole-life Cost in End-to-end CNN Acceleration
• EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction
• Reducing Inference Latency with Concurrent Architectures for Image Recognition
• HiFT: Hierarchical Feature Transformer for Aerial Tracking
• Sionnx: Automatic Unit Test Generator for ONNX Conformance
• Generalized Dropout
• Efficient Convolutional Neural Network Training with Direct Feedback Alignment
• Ensembles of feedforward-designed convolutional neural networks
• Human Following for Wheeled Robot with Monocular Pan-tilt Camera
• GSPMD: General and Scalable Parallelization for ML Computation Graphs
• Image Aesthetics Assessment using Multi Channel Convolutional Neural Networks
• Deep Residual Learning in Spiking Neural Networks
• A deep learning model captures position-specific effects of plant regulatory sequences and suggests genes under complex regulation
• Ripple Attention for Visual Perception with Sub-quadratic Complexity
• Meta-Learning with Network Pruning
• OpEvo: An Evolutionary Method for Tensor Operator Optimization
• Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
• Poisoned classifiers are not only backdoored, they are fundamentally broken
• Autoencoding Features for Aviation Machine Learning Problems
• Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning
• CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts
• Convolutional Neural Networks over Tree Structures for Programming Language Processing
• Evaluating Multimodal Representations on Visual Semantic Textual Similarity
• Joint 2D-3D Breast Cancer Classification
• Dataset Distillation as Data Compression: A Rate-Utility Perspective
• Triple Generative Adversarial Networks
• Synthesizing human-like sketches from natural images using a conditional convolutional decoder
• AttaNet: Attention-Augmented Network for Fast and Accurate Scene Parsing
• VGS-ATD: Robust Distributed Learning for Multi-Label Medical Image Classification Under Heterogeneous and Imbalanced Conditions
• DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks
• Learning from Scratch: Structurally-masked Transformer for Next Generation Lib-free Simulation
• Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification
• Few-Shot Learning in Video and 3D Object Detection: A Survey
• CM-UNet: A Self-Supervised Learning-Based Model for Coronary Artery Segmentation in X-Ray Angiography
• Bringing Balance to Hand Shape Classification: Mitigating Data Imbalance Through Generative Models
• Fractional Spike Differential Equations Neural Network with Efficient Adjoint Parameters Training
• A Broader Study of Cross-Domain Few-Shot Learning
• Maximum Mutation Reinforcement Learning for Scalable Control
• Elastic Neural Networks for Classification
• X-volution: On the unification of convolution and self-attention
• Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection
• Disguising Personal Identity Information in EEG Signals
• A PCA-Based Convolutional Network
• Features extraction for image identification using computer vision
• Cross-Modal Distillation For Widely Differing Modalities
• Adaptive Loss Function for Super Resolution Neural Networks Using Convex Optimization Techniques
• Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping
• Adaptive Relative Pose Estimation Framework with Dual Noise Tuning for Safe Approaching Maneuvers
• Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks
• GASPnet: Global Agreement to Synchronize Phases
• Deep Structured-Output Regression Learning for Computational Color Constancy
• Laparoscopy Surgery CO2 Removal via Generative Adversary Network and Dark Channel Prior
• Visual Language Modeling on CNN Image Representations
• Improve CAM with Auto-adapted Segmentation and Co-supervised Augmentation
• FishNet: A Camera Localizer using Deep Recurrent Networks
• Natural Language Guided Visual Relationship Detection
• Screen Gleaning: A Screen Reading TEMPEST Attack on Mobile Devices Exploiting an Electromagnetic Side Channel
• From SGD to Spectra: A Theory of Neural Network Weight Dynamics
• FedGA: A Fair Federated Learning Framework Based on the Gini Coefficient
• A Dictionary Approach to Domain-Invariant Learning in Deep Networks
• End-to-end training of deep kernel map networks for image classification
• Learning Context Graph for Person Search
• Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
• Classification Under Human Assistance
• Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN
• HGC: Hierarchical Group Convolution for Highly Efficient Neural Network
• Variational Implicit Processes
• The Serial Scaling Hypothesis
• ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
• Conditional diffusion models for guided anomaly detection in brain images using fluid-driven anomaly randomization
• Hybrid Ensemble Approaches: Optimal Deep Feature Fusion and Hyperparameter-Tuned Classifier Ensembling for Enhanced Brain Tumor Classification
• AD-GS: Object-Aware B-Spline Gaussian Splatting for Self-Supervised Autonomous Driving
• A Smoother Way to Train Structured Prediction Models
• Attributes Guided Feature Learning for Vehicle Re-identification
• Rethinking Spatial Dimensions of Vision Transformers
• Co-Design of Deep Neural Nets and Neural Net Accelerators for Embedded Vision Applications
• DUSE: A Data Expansion Framework for Low-resource Automatic Modulation Recognition based on Active Learning
• Adaptive Ultrasound Beamforming using Deep Learning
• A3GAN: An Attribute-aware Attentive Generative Adversarial Network for Face Aging
• Deep Relighting Networks for Image Light Source Manipulation
• Visual Security Evaluation of Learnable Image Encryption Methods against Ciphertext-only Attacks
• AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
• VideoClick: Video Object Segmentation with a Single Click
• Random Neural Networks in the Infinite Width Limit as Gaussian Processes
• A Survey on Human-aware Robot Navigation
• Optimization Methods for Large-Scale Machine Learning
• Online Training and Pruning of Deep Reinforcement Learning Networks
• High Performance and Portable Convolution Operators for ARM-based Multicore Processors
• Assaying Out-Of-Distribution Generalization in Transfer Learning
• Selective Embedding for Deep Learning
• Deep Metric Transfer for Label Propagation with Limited Annotated Data
• Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network
• Automated Scoring of Nuclear Pleomorphism Spectrum with Pathologist-level Performance in Breast Cancer
• Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data
• Reinforcement Learning for Industrial Control Network Cyber Security Orchestration
• Auto-Compressing Networks
• Incentivised Orchestrated Training Architecture (IOTA): A Technical Primer for Release
• Speed/accuracy trade-offs for modern convolutional object detectors
• Adversarial Neural Pruning with Latent Vulnerability Suppression
• Learning to Sample the Most Useful Training Patches from Images
• Domain Adaptation by Maximizing Population Correlation with Neural Architecture Search
• Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
• TMA: Tera-MACs/W Neural Hardware Inference Accelerator with a Multiplier-less Massive Parallel Processor
• Ensemble Transfer Learning for Emergency Landing Field Identification on Moderate Resource Heterogeneous Kubernetes Cluster
• Inspect Transfer Learning Architecture with Dilated Convolution
• Deep Learning: Our Miraculous Year 1990-1991
• Transferring Inter-Class Correlation
• Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer
• Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification
• Search to Distill: Pearls are Everywhere but not the Eyes
• HR-RCNN: Hierarchical Relational Reasoning for Object Detection
• On the Origin of Species of Self-Supervised Learning
• Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
• F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
• ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Medical Image Segmentation
• Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
• Interpretable Complex-Valued Neural Networks for Privacy Protection
• Feature Combination Meets Attention: Baidu Soccer Embeddings and Transformer based Temporal Detection
• An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection
• Relaxed Conditional Image Transfer for Semi-supervised Domain Adaptation
• ObjectNet Dataset: Reanalysis and Correction
• TSInsight: A local-global attribution framework for interpretability in time-series data
• Deep Learning-Based Gait Recognition Using Smartphones in the Wild
• Exploiting Contextual Information with Deep Neural Networks
• Supervised Online Hashing via Hadamard Codebook Learning
• Local Label Propagation for Large-Scale Semi-Supervised Learning
• Launchpad: A Programming Model for Distributed Machine Learning Research
• NWT: Towards natural audio-to-video generation with representation learning
• Computer-Assisted Analysis of Biomedical Images
• SwarmFusion: Revolutionizing Disaster Response with Swarm Intelligence and Deep Learning
• OVANet: One-vs-All Network for Universal Domain Adaptation
• AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
• Segment This Thing: Foveated Tokenization for Efficient Point-Prompted Segmentation
• Superimage
• A Brief History of AI: How to Prevent Another Winter (A Critical Review)
• One-shot screening of potential peptide ligands on HR1 domain in COVID-19 glycosylated spike (S) protein with deep siamese network
• On the Ethics of Building AI in a Responsible Manner
• Exploring Structure Consistency for Deep Model Watermarking
• Are State-of-the-art Visual Place Recognition Techniques any Good for Aerial Robotics?
• Learning Orientation-Estimation Convolutional Neural Network for Building Detection in Optical Remote Sensing Image
• Adaptive Object Detection Using Adjacency and Zoom Prediction
• Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples
• DP-CGAN: Differentially Private Synthetic Data and Label Generation
• A survey of Object Classification and Detection based on 2D/3D data
• Transformer in Transformer
• Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
• Effective and Efficient Dropout for Deep Convolutional Neural Networks
• Domain Generalization via Universal Non-volume Preserving Models
• Learning Spatial Fusion for Single-Shot Object Detection
• Towards Learning Convolutions from Scratch
• Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image
• Cross-X Learning for Fine-Grained Visual Categorization
• DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
• A Global-Local Emebdding Module for Fashion Landmark Detection
• Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
• Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts
• Probabilistic Discriminative Learning with Layered Graphical Models
• Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation
• Deep Learning for Robust Motion Segmentation with Non-Static Cameras
• Deep Room Recognition Using Inaudible Echos
• An Unconstrained Layer-Peeled Perspective on Neural Collapse
• A Novel Training Protocol for Performance Predictors of Evolutionary Neural Architecture Search Algorithms
• MNEW: Multi-domain Neighborhood Embedding and Weighting for Sparse Point Clouds Segmentation
• Learning to Extend Program Graphs to Work-in-Progress Code
• CNN Profiler on Polar Coordinate Images for Tropical Cyclone Structure Analysis
• Dynamic Scale Inference by Entropy Minimization
• Towards a Unified Evaluation of Explanation Methods without Ground Truth
• Spectral Representations for Convolutional Neural Networks
• Gated CRF Loss for Weakly Supervised Semantic Image Segmentation
• SIFT Meets CNN: A Decade Survey of Instance Retrieval
• Imbalanced Image Classification with Complement Cross Entropy
• Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs
• Deep Learning for Rheumatoid Arthritis: Joint Detection and Damage\n Scoring in X-rays
• TGIF: A New Dataset and Benchmark on Animated GIF Description
• Self-Supervised Visual Representations for Cross-Modal Retrieval
• DR Loss: Improving Object Detection by Distributional Ranking
• Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
• Bidirectional Attention Network for Monocular Depth Estimation
• ATISS: Autoregressive Transformers for Indoor Scene Synthesis
• LaSO: Label-Set Operations networks for multi-label few-shot learning
• Adversarially Trained Deep Neural Semantic Hashing Scheme for Subjective Search in Fashion Inventory
• CNN-based Realized Covariance Matrix Forecasting
• Graph Neural Networks for Node-Level Predictions
• Deep Neural-Kernel Machines
• Segmentation and Generation of Magnetic Resonance Images by Deep Neural Networks
• Non-autoregressive Transformer by Position Learning
• Do Better ImageNet Models Transfer Better... for Image Recommendation?
• A Survey on Large-scale Machine Learning
• Universal Adversarial Perturbations: A Survey
• DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters
• A concatenating framework of shortcut convolutional neural networks
• Reliable Identification of Redundant Kernels for Convolutional Neural Network Compression
• EQC : Ensembled Quantum Computing for Variational Quantum Algorithms
• Fashion Forward: Forecasting Visual Style in Fashion
• Learning Structures for Deep Neural Networks
• Leveraging Outdoor Webcams for Local Descriptor Learning
• Query Adaptive Late Fusion for Image Retrieval
• Inducing Hierarchical Compositional Model by Sparsifying Generator Network
• Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
• Compact Deep Neural Networks for Computationally Efficient Gesture Classification From Electromyography Signals
• Data Augmentation for Deep Candlestick Learner
• Accumulated Polar Feature-based Deep Learning for Efficient and Lightweight Automatic Modulation Classification with Channel Compensation Mechanism
• Look at here : Utilizing supervision to attend subtle key regions
• All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks
• A Comprehensive Approach to Unsupervised Embedding Learning based on AND Algorithm
• Booster: An Accelerator for Gradient Boosting Decision Trees
• Towards Predicting the Likeability of Fashion Images
• Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks
• Densely Connected Recurrent Residual (Dense R2UNet) Convolutional Neural Network for Segmentation of Lung CT Images
• Counting Fish and Dolphins in Sonar Images Using Deep Learning
• Deep neural networks can be improved using human-derived contextual expectations
• Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
• Discriminative Multi-modality Speech Recognition
• Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop
• I-Nema: A Biological Image Dataset for Nematode Recognition
• Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets
• Differentiable Projection for Constrained Deep Learning
• DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator
• RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices
• PairNets: Novel Fast Shallow Artificial Neural Networks on Partitioned Subspaces
• Object-aware Feature Aggregation for Video Object Detection
• Self-supervised Visual Attribute Learning for Fashion Compatibility
• Universal Adder Neural Networks
• Machine Learning Applications for Therapeutic Tasks with Genomics Data
• A Preliminary Study on Data Augmentation of Deep Learning for Image Classification
• Comparing Attention-based Convolutional and Recurrent Neural Networks:\n Success and Limitations in Machine Reading Comprehension
• Distributed Averaging CNN-ELM for Big Data
• 2D versus 3D Convolutional Spiking Neural Networks Trained with Unsupervised STDP for Human Action Recognition
• Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop
• Distributed stochastic optimization with large delays
• Pixel-Anchor: A Fast Oriented Scene Text Detector with Combined Networks
• Progressive Differentiable Architecture Search: Bridging the Depth Gap between Search and Evaluation
• A Large Scale Event-based Detection Dataset for Automotive
• Unsupervised Semantic Action Discovery from Video Collections
• Locally Enhanced Self-Attention: Combining Self-Attention and Convolution as Local and Context Terms
• Applying Tensor Decomposition to image for Robustness against Adversarial Attack
• Convolutional Neural Network on Semi-Regular Triangulated Meshes and its Application to Brain Image Data
• ConvPath: A Software Tool for Lung Adenocarcinoma Digital Pathological Image Analysis Aided by Convolutional Neural Network
• Artificial Intelligence for Pediatric Ophthalmology
• Learning Manifold Patch-Based Representations of Man-Made Shapes
• Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
• Deep Active Learning with Augmentation-based Consistency Estimation
• Group Ensemble: Learning an Ensemble of ConvNets in a single ConvNet
• GroupBERT: Enhanced Transformer Architecture with Efficient Grouped Structures
• Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control
• Placepedia: Comprehensive Place Understanding with Multi-Faceted Annotations
• LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
• StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks
• (Pen-) Ultimate DNN Pruning
• Learning a metacognition for object perception
• Uniform Generalization Bounds for Overparameterized Neural Networks
• Data-Dependent Randomized Smoothing
• Unsupervised Anomaly Detection for X-Ray Images
• Empirical Performance Analysis of Conventional Deep Learning Models for\n Recognition of Objects in 2-D Images
• A Transfer Learning Based Active Learning Framework for Brain Tumor Classification
• Improving Conversational Recommendation System by Pretraining on Billions Scale of Knowledge Graph
• A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups
• Dependency Decomposition and a Reject Option for Explainable Models
• Towards localisation of keywords in speech using weak supervision
• Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
• MEC: Memory-efficient Convolution for Deep Neural Network
• Cross-Lingual Vision-Language Navigation
• Try Harder: Hard Sample Generation and Learning for Clothes-Changing Person Re-ID
• A Comprehensive Survey for Real-World Industrial Defect Detection: Challenges, Approaches, and Prospects
• Functionalist Emotion Modeling in Biomimetic Reinforcement Learning
• SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition
• Predicting Deep Zero-Shot Convolutional Neural Networks using Textual Descriptions
• Event Specific Multimodal Pattern Mining with Image-Caption Pairs
• MARMOT: Masked Autoencoder for Modeling Transient Imaging
• Adaptive Object Detection with ESRGAN-Enhanced Resolution & Faster R-CNN
• Boundary Guidance Hierarchical Network for Real-Time Tongue Segmentation
• Measuring Robustness to Natural Distribution Shifts in Image Classification
• Network Space Search for Pareto-Efficient Spaces
• Modelling Urban Dynamics with Multi-Modal Graph Convolutional Networks
• A Novel Structured Natural Gradient Descent for Deep Learning
• Characterizing Inter-Layer Functional Mappings of Deep Learning Models
• Shelf-Supervised Mesh Prediction in the Wild
• OOWL500: Overcoming Dataset Collection Bias in the Wild
• CNN-based Density Estimation and Crowd Counting: A Survey
• Attention-Mechanism-based Tracking Method for Intelligent Internet of Vehicles
• Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
• Multi-modal Face Pose Estimation with Multi-task Manifold Deep Learning
• Camera Style Adaptation for Person Re-identification
• HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
• Semantic Image Cropping
• ABC-FHE : A Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption
• A Group Theoretic Analysis of the Symmetries Underlying Base Addition and Their Learnability by Neural Networks
• Deep Model Compression: Distilling Knowledge from Noisy Teachers
• Devanagari Handwritten Character Recognition using Convolutional Neural Network
• MFED: A System for Monitoring Family Eating Dynamics
• Matching Guided Distillation
• ContourRend: A Segmentation Method for Improving Contours by Rendering
• Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
• Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning
• Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification
• Class-wise Dynamic Graph Convolution for Semantic Segmentation
• Lightweight image super-resolution with enhanced CNN
• Unsupervised Person Re-identification via Multi-Label Prediction and Classification based on Graph-Structural Insight
• GHFP: Gradually Hard Filter Pruning
• Ternary Residual Networks
• Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks
• Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?
• A Graph Sufficiency Perspective for Neural Networks
• Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance
• Convolutional Recurrent Residual U-Net Embedded with Attention Mechanism and Focal Tversky Loss Function for Cancerous Nuclei Detection
• LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems
• DARTS-ASR: Differentiable Architecture Search for Multilingual Speech Recognition and Adaptation
• Activity recognition from videos with parallel hypergraph matching on GPUs
• Augmentation Inside the Network
• Robust RGB-D Face Recognition Using Attribute-Aware Loss
• Superposed parameterised quantum circuits
• Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs
• Towards Reading Beyond Faces for Sparsity-Aware 4D Affect Recognition
• Label Noise Types and Their Effects on Deep Learning
• Collaborative Motion Prediction via Neural Motion Message Passing
• DeepLiDARFlow: A Deep Learning Architecture For Scene Flow Estimation Using Monocular Camera and Sparse LiDAR
• Bayesian neural networks and dimensionality reduction
• EENA: Efficient Evolution of Neural Architecture
• Polaritonic Machine Learning for Graph-based Data Analysis
• WebVision Challenge: Visual Learning and Understanding With Web Data
• Pre-training without Natural Images
• A Transfer Learning-Based Method for Water Body Segmentation in Remote Sensing Imagery: A Case Study of the Zhada Tulin Area
• BitParticle: Partializing Sparse Dual-Factors to Build Quasi-Synchronizing MAC Arrays for Energy-efficient DNNs
• Brain Stroke Detection and Classification Using CT Imaging with Transformer Models and Explainable AI
• QuarterMap: Efficient Post-Training Token Pruning for Visual State Space Models
• CAVA: A Visual Analytics System for Exploratory Columnar Data Augmentation Using Knowledge Graphs
• AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing
• Classification of Industrial Control Systems screenshots using Transfer Learning
• Accelerating 2PC-based ML with Limited Trusted Hardware
• Modular network for high accuracy object detection
• Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition
• Recurrent Models of Visual Attention
• Using Deep Convolutional Neural Networks to Circumvent Morphological Feature Specification when Classifying Subvisible Protein Aggregates from Micro-Flow Images
• Active Subspace of Neural Networks: Structural Analysis and Universal Attacks
• DAA*: Deep Angular A Star for Image-based Path Planning
• MixNorm: Test-Time Adaptation Through Online Normalization Estimation
• A Binded VAE for Inorganic Material Generation
• Regret Bounds and Reinforcement Learning Exploration of EXP-based Algorithms
• AGCD-Net: Attention Guided Context Debiasing Network for Emotion Recognition
• Color Image Classification via Quaternion Principal Component Analysis Network
• A Meta Approach to Defend Noisy Labels by the Manifold Regularizer PSDR
• Modeling Partially Observed Nonlinear Dynamical Systems and Efficient Data Assimilation via Discrete-Time Conditional Gaussian Koopman Network
• Catastrophic Forgetting Mitigation Through Plateau Phase Activity Profiling
• Normalized vs Diplomatic Annotation: A Case Study of Automatic Information Extraction from Handwritten Uruguayan Birth Certificates
• SFedKD: Sequential Federated Learning with Discrepancy-Aware Multi-Teacher Knowledge Distillation
• Large-scale Bisample Learning on ID Versus Spot Face Recognition
• Towards Imperceptible JPEG Image Hiding: Multi-range Representations-driven Adversarial Stego Generation
• Weight-Sharing Neural Architecture Search: A Battle to Shrink the Optimization Gap
• Scene-Intuitive Agent for Remote Embodied Visual Grounding
• Oriented Objects as pairs of Middle Lines
• Perceptual Score: What Data Modalities Does Your Model Perceive?
• MUXConv: Information Multiplexing in Convolutional Neural Networks
• ResNEsts and DenseNEsts: Block-based DNN Models with Improved\n Representation Guarantees
• GPUHammer: Rowhammer Attacks on GPU Memories are Practical
• Physics-Informed Neural Networks with Hard Nonlinear Equality and Inequality Constraints
• PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
• Multigranular Evaluation for Brain Visual Decoding
• Deriving Emotions and Sentiments from Visual Content: A Disaster Analysis Use Case
• Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition
• Learning Pole Structures of Hadronic States using Predictive Uncertainty Estimation
• Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
• An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework
• Kernel Quantization for Efficient Network Compression
• Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
• Machine Learning based Post Processing Artifact Reduction in HEVC Intra Coding
• An Image Based Visual Servo Approach with Deep Learning for Robotic Manipulation
• Image Generation from Layout
• Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation
• Distributed Inexact Successive Convex Approximation ADMM: Analysis-Part I
• Robust and Safe Traffic Sign Recognition using N-version with Weighted Voting
• Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity
• Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective
• Aerial Maritime Vessel Detection and Identification
• Ancient Painting to Natural Image: A New Solution for Painting Processing
• M²-MFP: A Multi-Scale and Multi-Level Memory Failure Prediction Framework for Reliable Cloud Infrastructure
• Deep learning models for visibility forecasting using climatological data
• Deep Learning Techniques for Future Intelligent Cross-Media Retrieval
• SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam
• Energy-Efficient Supervised Learning with a Binary Stochastic Forward-Forward Algorithm
• HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image Enhancement
• Dual Mixup Regularized Learning for Adversarial Domain Adaptation
• Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
• Centralized Copy-Paste: Enhanced Data Augmentation Strategy for Wildland Fire Semantic Segmentation
• Adversarial Defense Through Network Profiling Based Path Extraction
• Concept-Based Mechanistic Interpretability Using Structured Knowledge Graphs
• SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance
• Contrastive and Transfer Learning for Effective Audio Fingerprinting through a Real-World Evaluation Protocol
• Generating private data with user customization
• FRAME Revisited: An Interpretation View Based on Particle Evolution
• Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference
• ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks
• An Architecture Combining Convolutional Neural Network (CNN) and Support Vector Machine (SVM) for Image Classification
• Interpreting Shared Deep Learning Models via Explicable Boundary Trees
• Learning to Reconstruct and Segment 3D Objects
• Digital Twin: Values, Challenges and Enablers From a Modeling Perspective
• Training Very Deep Networks
• Self-Knowledge Distillation with Progressive Refinement of Targets
• AAG: Self-Supervised Representation Learning by Auxiliary Augmentation with GNT-Xent Loss
• Efficient Federated Learning with Timely Update Dissemination
• Deep Online Convex Optimization with Gated Games
• GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
• Investigating and Simplifying Masking-based Saliency Methods for Model\n Interpretability
• Batch Normalization with Enhanced Linear Transformation
• Recent Advance in Content-based Image Retrieval: A Literature Survey
• Simple Convergence Proof of Adam From a Sign-like Descent Perspective
• Hierarchical Predictive Coding Models in a Deep-Learning Framework
• Prediction of Tuberculosis using U-Net and segmentation techniques
• Generative Panoramic Image Stitching
• YOLO-APD: Enhancing YOLOv8 for Robust Pedestrian Detection on Complex Road Geometries
• LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral Domains
• Efficient Computation Reduction in Bayesian Neural Networks Through Feature Decomposition and Memorization
• Domain Adaptive Object Detection via Feature Separation and Alignment
• LVM4CSI: Enabling Direct Application of Pre-Trained Large Vision Models for Wireless Channel Tasks
• Effort-Optimized, Accuracy-Driven Labelling and Validation of Test Inputs for DL Systems: A Mixed-Integer Linear Programming Approach
• Towards Single Stage Weakly Supervised Semantic Segmentation
• Improving Adversarial Robustness in Weight-quantized Neural Networks
• Visual Identification of Individual Holstein-Friesian Cattle via Deep Metric Learning
• Channel Distillation: Channel-Wise Attention for Knowledge Distillation
• Discriminative Localized Sparse Representations for Breast Cancer Screening
• Salient Object Detection Combining a Self-attention Module and a Feature Pyramid Network
• Neural Velocity for hyperparameter tuning
• Model Compression using Progressive Channel Pruning
• Constructive Universal Approximation and Sure Convergence for Multi-Layer Neural Networks
• CP-Dilatation: A Copy-and-Paste Augmentation Method for Preserving the Boundary Context Information of Histopathology Images
• Deep learning for caries detection: A systematic review
• Large-scale Continuous Gesture Recognition Using Convolutional Neural Networks
• Cyclic Differentiable Architecture Search
• PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
• Learning by Examples Based on Multi-level Optimization
• An Experimental Study of Deep Convolutional Features For Iris Recognition
• The Replica Dataset: A Digital Replica of Indoor Spaces
• Adversarial Examples Improve Image Recognition
• U-Net: Convolutional Networks for Biomedical Image Segmentation
• Novel Adaptive Binary Search Strategy-First Hybrid Pyramid- and Clustering-Based CNN Filter Pruning Method without Parameters Setting
• Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks
• Image recognition via Vietoris-Rips complex
• Optimizing Neural Network for Computer Vision task in Edge Device
• Multiview convolutional neural networks for lung nodule classification
• Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization
• Delving into VoxCeleb: environment invariant speaker recognition
• Understanding Modern Techniques in Optimization: Frank-Wolfe, Nesterov's Momentum, and Polyak's Momentum
• Graph Convolutional Networks with EigenPooling
• ConvNets vs. Transformers: Whose Visual Representations are More Transferable?
• Structured Convolution Matrices for Energy-efficient Deep learning
• Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference
• Zero-shot Adversarial Quantization
• Improving out-of-distribution generalization via multi-task self-supervised pretraining
• Variational Bayesian Dropout with a Hierarchical Prior
• Growing Efficient Deep Networks by Structured Continuous Sparsification
• Centralized Information Interaction for Salient Object Detection
• Stochastic Optimization with Laggard Data Pipelines
• Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval
• Early Convolutions Help Transformers See Better
• The Scattering Compositional Learner: Discovering Objects, Attributes, Relationships in Analogical Reasoning
• SymNet: Symmetrical Filters in Convolutional Neural Networks
• Overcoming Statistical Shortcuts for Open-ended Visual Counting
• ProductNet: a Collection of High-Quality Datasets for Product Representation Learning
• PromptSR: Cascade Prompting for Lightweight Image Super-Resolution
• Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning
• SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images
• Overcoming the low signal-to-noise problem for hybrid mode-selective photonic lantern-based wavefront correction using machine learning
• SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
• On Class Imbalance and Background Filtering in Visual Relationship Detection
• Search for spatial coincidences between galaxy mergers and Fermi-LAT 4FGL-DR4 sources
• Node-By-Node Greedy Deep Learning for Interpretable Features
• Dynamic Reliability Management in Neuromorphic Computing
• Gaussian-LIC2: LiDAR-Inertial-Camera Gaussian Splatting SLAM
• Chameleon: A Semi-AutoML framework targeting quick and scalable development and deployment of production-ready ML systems for SMEs
• Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms
• Adaptive Test-Time Augmentation for Low-Power CPU
• CoDR: Computation and Data Reuse Aware CNN Accelerator
• Towards Analysis-friendly Face Representation with Scalable Feature and Texture Compression
• Active Screening for Recurrent Diseases: A Reinforcement Learning Approach
• 3D PixBrush: Image-Guided Local Texture Synthesis
• Mutual Graph Learning for Camouflaged Object Detection
• Shakeout: A New Approach to Regularized Deep Neural Network Training
• Multi-Level Fusion Graph Neural Network for Molecule Property Prediction
• Adversarial Attacks on Deep Learning Models in Natural Language Processing: A Survey
• C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
• Backward-Compatible Prediction Updates: A Probabilistic Approach
• Global Variational Inference Enhanced Robust Domain Adaptation
• A CNN–LSTM model for gold price time-series forecasting
• Medical Datasets Collections for Artificial Intelligence-based Medical Image Analysis
• Convolutional Kernel Networks
• Compression and Interpretability of Deep Neural Networks via Tucker Tensor Layer: From First Principles to Tensor Valued Back-Propagation
• Unsupervised Deep Representation Learning for Real-Time Tracking
• TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
• A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving
• Do ImageNet Classifiers Generalize to ImageNet?
• PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
• HarDNet: A Low Memory Traffic Network
• Expanding phenological insights: automated phenostage annotation with community science plant images
• Inverse Synthetic Aperture Fourier Ptychography
• Ensemble of Deep Learned Features for Melanoma Classification
• PoTrojan: powerful neural-level trojan designs in deep learning models
• Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks
• SCOPE: Scalable Composite Optimization for Learning on Spark
• Gabor filter incorporated CNN for compression
• Characterizing Compute-Communication Overlap in GPU-Accelerated Distributed Deep Learning: Performance and Power Implications
• Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and Physics
• Automated Grading of Students' Handwritten Graphs: A Comparison of Meta-Learning and Vision-Large Language Models
• Position: A Theory of Deep Learning Must Include Compositional Sparsity
• Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
• FNA++: Fast Network Adaptation via Parameter Remapping and Architecture Search
• Hierarchically Compositional Tasks and Deep Convolutional Networks
• Optimisation Is Not What You Need
• Statistical Inference for Stochastic Gradient Descent: Beyond Finite Variance
• LMPNet for Weakly-supervised Keypoint Discovery
• Tomato plant disease detection using transfer learning with C-GAN synthetic images
• C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling
• Robust Real-Time Pedestrian Detection on Embedded Devices
• Cross-Domain Image Classification through Neural-Style Transfer Data Augmentation
• The Book of Life approach: Enabling richness and scale for life course research
• Can Artificial Intelligence solve the blockchain oracle problem? Unpacking the Challenges and Possibilities
• Selective Feature Re-Encoded Quantum Convolutional Neural Network with Joint Optimization for Image Classification
• Towards Compact CNNs via Collaborative Compression
• Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
• Semi-Supervising Learning, Transfer Learning, and Knowledge Distillation with SimCLR
• Communication-Computation Trade-Off in Resource-Constrained Edge Inference
• Quantum reinforcement learning in dynamic environments
• Robust Local Features for Improving the Generalization of Adversarial Training
• Spectral Metric for Dataset Complexity Assessment
• Contextual Multi-Scale Region Convolutional 3D Network for Activity Detection
• Contact Pose Identification for Peg-in-Hole Assembly under Uncertainties
• JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data
• Gradient Short-Circuit: Efficient Out-of-Distribution Detection via Feature Intervention
• POST: Photonic Swin Transformer for Automated and Efficient Prediction of PCSEL
• Beyond Categorical Label Representations for Image Classification
• Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
• Trigger Hunting with a Topological Prior for Trojan Detection
• TFLMS: Large Model Support in TensorFlow by Graph Rewriting
• Complex network prediction using deep learning
• evMLP: An Efficient Event-Driven MLP Architecture for Vision
• Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild
• BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
• Long-Tailed Distribution-Aware Router For Mixture-of-Experts in Large Vision-Language Model
• Deep Learning in Spiking Neural Networks
• Tangma: A Tanh-Guided Activation Function with Learnable Parameters
• Towards a Domain Specific Solution for a New Generation of Wireless Modems
• A Review on Sound Source Localization in Robotics: Focusing on Deep Learning Methods
• Complexity of Representation and Inference in Compositional Models with Part Sharing
• Preconditioned Stochastic Gradient Langevin Dynamics for Deep Neural Networks
• BA-Net: Dense Bundle Adjustment Network
• AI-Generated Video Detection via Perceptual Straightening
• Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models
• A deep learning-based framework for an automated defect detection system for sewer pipes
• Underground sewer pipe condition assessment based on convolutional neural networks
• Learning Dense Feature Matching via Lifting Single 2D Image to 3D Space
• Combining Diverse Feature Priors
• Regularizing Neural Networks via Minimizing Hyperspherical Energy
• Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning
• X-LineNet: Detecting Aircraft in Remote Sensing Images by a pair of Intersecting Line Segments
• SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
• Multi-modal Visual Tracking: Review and Experimental Comparison
• Adversarial Examples, Uncertainty, and Transfer Testing Robustness in Gaussian Process Hybrid Deep Networks
• Discriminative Local Sparse Representation by Robust Adaptive Dictionary Pair Learning
• DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
• Real-time Faulted Line Localization and PMU Placement in Power Systems through Convolutional Neural Networks
• Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
• Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training
• Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies
• Structured Mechanical Models for Robot Learning and Control
• Automatically Learning Data Augmentation Policies for Dialogue Tasks
• Segmented Operations using Matrix Multiplications
• QPART: Adaptive Model Quantization and Dynamic Workload Balancing for Accuracy-aware Edge Inference
• A Survey on Deep Learning for Multimodal Data Fusion
• Pruning by Block Benefit: Exploring the Properties of Vision Transformer Blocks during Domain Adaptation
• SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action Recognition
• Faster and Accurate Classification for JPEG2000 Compressed Images in Networked Applications
• Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size
• GViT: Representing Images as Gaussians for Visual Recognition
• GradEscape: A Gradient-Based Evader Against AI-Generated Text Detectors
• Optimization of Graph Neural Networks with Natural Gradient Descent
• Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data
• Multi-Scale RCNN Model for Financial Time-series Classification
• Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models
• Spurious-Aware Prototype Refinement for Reliable Out-of-Distribution Detection
• Safe Reinforcement Learning via Probabilistic Shields
• CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems
• Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images
• OGNet: Salient Object Detection with Output-guided Attention Module
• Competitive Distillation: A Simple Learning Strategy for Improving Visual Classification
• BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
• Multi-focus Attention Network for Efficient Deep Reinforcement Learning
• Class-Balanced Loss Based on Effective Number of Samples
• Can WiFi Estimate Person Pose?
• Characterizing the Deep Neural Networks Inference Performance of Mobile Applications
• Quantitative Propagation of Chaos for SGD in Wide Neural Networks
• CAMERAS: Enhanced Resolution And Sanity preserving Class Activation Mapping for image saliency
• Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
• Digital phase-only holography using deep conditional generative models
• Learning Obstacle Representations for Neural Motion Planning
• CNN based texture synthesize with Semantic segment
• A Survey of Human-in-the-loop for Machine Learning
• On the adequacy of untuned warmup for adaptive optimization
• Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
• Using learned optimizers to make models robust to input noise
• Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation
• Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
• Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning
• PipeNet: Selective Modal Pipeline of Fusion Network for Multi-Modal Face Anti-Spoofing
• Semantic Amodal Segmentation
• Unsupervised Audiovisual Synthesis via Exemplar Autoencoders
• A Microprocessor implemented in 65nm CMOS with Configurable and Bit-scalable Accelerator for Programmable In-memory Computing
• Persistence Paradox in Dynamic Science
• Tool as Embodiment for Recursive Manipulation
• Crater Detection via Convolutional Neural Networks
• Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis
• D2C: Diffusion-Denoising Models for Few-shot Conditional Generation
• Revolutionizing gastroenterology and hepatology with artificial intelligence: From precision diagnosis to equitable healthcare through interdisciplinary practice
• L_DMI: An Information-theoretic Noise-robust Loss Function
• Topmetal CMOS direct charge sensing plane for neutrinoless double-beta decay search in high-pressure gaseous TPC
• A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation
• Real-time Speech Frequency Bandwidth Extension
• Improving Token-based Object Detection with Video
• Optimization of Wireless Sensor Network Deployment for Spatiotemporal Reconstruction and Prediction
• Towards Distributed Neural Architectures
• ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
• One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
• SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding
• Pixels-to-Graph: Real-time Integration of Building Information Models and Scene Graphs for Semantic-Geometric Human-Robot Understanding
• Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision
• Detecting Interspecific Positive Selection Using Convolutional Neural Networks
• Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem
• ProARD: progressive adversarial robustness distillation: provide wide range of robust students
• UniCA: Unified Covariate Adaptation for Time Series Foundation Model
• Deep RNN Framework for Visual Sequential Applications
• Recursive Binary Neural Network Learning Model with 2.28b/Weight Storage Requirement
• Learning to adapt class-specific features across domains for semantic segmentation
• Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
• Application of quantum machine learning using variational quantum classifier in accelerator physics
• North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends
• An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
• Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models
• Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
• KuraNet: Systems of Coupled Oscillators that Learn to Synchronize
• Learn to Predict Vertical Track Irregularity with Extremely Imbalanced Data
• rQdia: Regularizing Q-Value Distributions With Image Augmentation
• Towards Leveraging End-of-Life Tools as an Asset: Value Co-Creation based on Deep Learning in the Machining Industry
• Stochastic and Non-local Closure Modeling for Nonlinear Dynamical Systems via Latent Score-based Generative Models
• Very simple statistical evidence that AlphaGo has exceeded human limits\n in playing GO game
• Lightweight Multi-Frame Integration for Robust YOLO Object Detection in Videos
• Efficient Certified Reasoning for Binarized Neural Networks
• ACNN: a Full Resolution DCNN for Medical Image Segmentation
• Effectiveness of Optimization Algorithms in Deep Image Classification
• The duality structure gradient descent algorithm: analysis and\n applications to neural networks
• Curvature Enhanced Data Augmentation for Regression
• Control and optimization for Neural Partial Differential Equations in Supervised Learning
• SFNet: Fusion of Spatial and Frequency-Domain Features for Remote Sensing Image Forgery Detection
• Machine-Learning-Assisted Photonic Device Development: A Multiscale Approach from Theory to Characterization
• Memory Enhanced Global-Local Aggregation for Video Object Detection
• Ark: An Open-source Python-based Framework for Robot Learning
• Distillation Guided Residual Learning for Binary Convolutional Neural Networks
• Curating art exhibitions using machine learning
• A Survey of LLM-Driven AI Agent Communication: Protocols, Security Risks, and Defense Countermeasures
• Known-class Aware Self-ensemble for Open Set Domain Adaptation
• using multiple losses for accurate facial age estimation
• Generative model for optimal density estimation on unknown manifold
• PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty
• Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
• Comparative Performance of Finetuned ImageNet Pre-trained Models for Electronic Component Classification
• PAI-BPR: Personalized Outfit Recommendation Scheme with Attribute-wise Interpretability
• A critical analysis of self-supervision, or what we can learn from a single image
• Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
• Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein\n Structures
• On the Demystification of Knowledge Distillation: A Residual Network Perspective
• Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics
• Identification of hydrodynamic instability by convolutional neural networks
• STA: Adversarial Attacks on Siamese Trackers
• A Comprehensive Survey on Transfer Learning
• Anomaly Detection with Prototype-Guided Discriminative Latent Embeddings
• Neuro-Symbolic Execution: The Feasibility of an Inductive Approach to Symbolic Execution
• Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding
• Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
• Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
• SNN: Stacked Neural Networks
• Augmenting C. elegans Microscopic Dataset for Accelerated Pattern Recognition
• SiamEvent: Event-based Object Tracking via Edge-aware Similarity Learning with Siamese Networks
• Transferable Semantic Augmentation for Domain Adaptation
• Novelty-Prepared Few-Shot Classification
• SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification
• BulletGen: Improving 4D Reconstruction with Bullet-Time Generation
• Biologically-Motivated Deep Learning Method using Hierarchical Competitive Learning
• Generalizing vision-language models to novel domains: A comprehensive survey
• Weakly-supervised Generative Adversarial Networks for medical image classification
• A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
• DIP: Unsupervised Dense In-Context Post-training of Visual Representations
• Data Dwarfs: A Lens Towards Fully Understanding Big Data and AI Workloads
• Fast AI Model Splitting over Edge Networks
• Extreme Value Preserving Networks
• Dual-Forward Path Teacher Knowledge Distillation: Bridging the Capacity Gap Between Teacher and Student
• Exploiting Lightweight Hierarchical ViT and Dynamic Framework for Efficient Visual Tracking
• What Matters in Learning from Offline Human Demonstrations for Robot Manipulation
• Expressive TTS Training with Frame and Style Reconstruction Loss
• Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
• Scale-Invariant Convolutional Neural Networks
• Advancing Talking Head Generation: A Comprehensive Survey of Multi-Modal Methodologies, Datasets, Evaluation Metrics, and Loss Functions
• Facial Age Estimation using Convolutional Neural Networks
• A hierarchical deep learning framework for the consistent classification of land use objects in geospatial databases
• Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT
• Fine-Tuned Vision Transformers Capture Complex Wheat Spike Morphology for Volume Estimation from RGB Images
• Splitformer: An improved early-exit architecture for automatic speech recognition on edge devices
• Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
• Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation
• 4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos
• On the Robustness of Human-Object Interaction Detection against Distribution Shift
• Fast Incremental Learning for Off-Road Robot Navigation
• Generative NeuroEvolution for Deep Learning
• My First Deep Learning System of 1991 + Deep Learning Timeline 1962-2013
• Classification of Tents in Street Bazaars Using CNN
• DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
• TEST: an End-to-End Network Traffic Examination and Identification Framework Based on Spatio-Temporal Features Extraction
• Detecting aquatic plant transmission on floatplanes using computer vision
• Visual Tracking via Shallow and Deep Collaborative Model
• Sketch2code: Generating a website from a paper mockup
• DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio
• Right whale recognition using convolutional neural networks
• VeriLocc: End-to-End Cross-Architecture Register Allocation via LLM
• AQUA20: A Benchmark Dataset for Underwater Species Classification under Challenging Conditions
• Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data
• Differentiable Multiple Shooting Layers
• Sequence-to-Sequence Models with Attention Mechanistically Map to the Architecture of Human Memory Search
• Explore the vulnerability of black-box models via diffusion models
• RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection
• Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
• On Feature Normalization and Data Augmentation
• Thermometry of simulated Bose--Einstein condensates using machine learning
• A Deep Learning Based Fast Image Saliency Detection Algorithm
• Lookup Table-based Multiplication-free All-digital DNN Accelerator Featuring Self-Synchronous Pipeline Accumulation
• Off-Policy Actor-Critic for Adversarial Observation Robustness: Virtual Alternative Training via Symmetric Policy Evaluation
• Population Based Augmentation: Efficient Learning of Augmentation Policy Schedules
• Totally Deep Support Vector Machines
• Aligning where to see and what to tell: image caption with region-based attention and scene factorization
• LeanResNet: A Low-cost Yet Effective Convolutional Residual Networks
• TAPESTRY: A Blockchain based Service for Trusted Interaction Online
• Adversarial Dual Distinct Classifiers for Unsupervised Domain Adaptation
• VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products
• RobustART: Benchmarking Robustness on Architecture Design and Training Techniques
• Fast and Accurate, Convolutional Neural Network Based Approach for Object Detection from UAV
• Pixel DAG-Recurrent Neural Network for Spectral-Spatial Hyperspectral Image Classification
• Multiscale Adaptive Representation of Signals: I. The Basic Framework
• Deep Learning in Ultrasound Elastography Imaging
• A Brain-to-Population Graph Learning Framework for Diagnosing Brain Disorders
• Noise Fusion-based Distillation Learning for Anomaly Detection in Complex Industrial Environments
• TreeNet: A lightweight One-Shot Aggregation Convolutional Network
• Development of the algorithm for differentiating bone metastases and trauma of the ribs in bone scintigraphy and demonstration of visual evidence of the algorithm -- Using only anterior bone scan view of thorax
• Scheduled Differentiable Architecture Search for Visual Recognition
• Itsy Bitsy SpiderNet: Fully Connected Residual Network for Fraud Detection
• Turning old models fashion again: Recycling classical CNN networks using the Lattice Transformation
• Pay Attention to MLPs
• Reactive Transport Modeling with Physics-Informed Machine Learning for Critical Minerals Applications
• ControlVLA: Few-shot Object-centric Adaptation for Pre-trained Vision-Language-Action Models
• Reinforcement Learning with Augmented Data
• Translate-to-Recognize Networks for RGB-D Scene Recognition
• Layer Dynamics of Linearised Neural Nets
• Prototype Rectification for Few-Shot Learning
• Deep Stable Learning for Out-Of-Distribution Generalization
• Classification of Multi-Parametric Body MRI Series Using Deep Learning
• NTIRE 2025 Image Shadow Removal Challenge Report
• Real-Time Video Highlights for Yahoo Esports
• Image Captioning Based on a Hierarchical Attention Mechanism and Policy Gradient Optimization
• Rethinking Semantic Segmentation Evaluation for Explainability and Model Selection
• Alignment between Brains and AI: Evidence for Convergent Evolution across Modalities, Scales and Training Trajectories
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• FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
• Significance of Data Augmentation for Improving Cleft Lip and Palate Speech Recognition
• DS-TTS: Zero-Shot Speaker Style Adaptation from Voice Clips via Dynamic Dual-Style Feature Modulation
• Powerpropagation: A sparsity inducing weight reparameterisation
• MSN: Efficient Online Mask Selection Network for Video Instance Segmentation
• Prototype Guided Federated Learning of Visual Feature Representations
• Unified Adversarial Invariance
• SatDreamer360: Multiview-Consistent Generation of Ground-Level Scenes from Satellite Imagery
• Monitoring Robustness and Individual Fairness
• Condition-Invariant Multi-View Place Recognition
• Recursive speech separation for unknown number of speakers
• From Anchor Generation to Distribution Alignment: Learning a Discriminative Embedding Space for Zero-Shot Recognition
• Semi-Implicit Back Propagation
• Two-stage generative adversarial networks for document image binarization with color noise and background removal
• Sparse Array Capon Beamformer Design Availing Deep Learning
• Learning Instance-wise Sparsity for Accelerating Deep Models
• Device-Circuit-Architecture Co-Exploration for Computing-in-Memory Neural Accelerators
• Resource-Efficient Neural Networks for Embedded Systems
• Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator
• Learning To Characterize Adversarial Subspaces
• Privado: Practical and Secure DNN Inference with Enclaves
• COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning
• Hyperspectral Anomaly Change Detection Based on Auto-encoder
• Automatic tracing of mandibular canal pathways using deep learning
• TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural Networks
• SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
• Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function
• Co-designed pre-capture privacy optics for computer vision
• Typical Machine Learning Datasets as Low-Depth Quantum Circuits
• CHIP: Chameleon Hash-based Irreversible Passport for Robust Deep Model Ownership Verification and Active Usage Control
• On the Lipschitz Continuity of Set Aggregation Functions and Neural Networks for Sets
• VAEER: Visual Attention-Inspired Emotion Elicitation Reasoning
• Differentiable Augmentation for Data-Efficient GAN Training
• Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval
• Drop Dropout on Single-Epoch Language Model Pretraining
• State Estimation and Control of Dynamic Systems from High-Dimensional Image Data
• Learning Deep Embeddings with Histogram Loss
• Predicting population neural activity in the Algonauts challenge using end-to-end trained Siamese networks and group convolutions
• Rethinking Convolutional Features in Correlation Filter Based Tracking
• Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?
• Physics-inspired Energy Transition Neural Network for Sequence Learning
• Learning to Filter: Siamese Relation Network for Robust Tracking
• Multicolumn Networks for Face Recognition
• Energy-Embedded Neural Solvers for One-Dimensional Quantum Systems
• 50 Years of Automated Face Recognition
• TCM-Ladder: A Benchmark for Multimodal Question Answering on Traditional Chinese Medicine
• AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
• MangoLeafViT: Leveraging Lightweight Vision Transformer with Runtime Augmentation for Efficient Mango Leaf Disease Classification
• BIRD: Behavior Induction via Representation-structure Distillation
• Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing
• Descriptor Matching with Convolutional Neural Networks: a Comparison to SIFT
• A Regressive Convolution Neural network and Support Vector Regression Model for Electricity Consumption Forecasting
• Bounding Box-Guided Diffusion for Synthesizing Industrial Images and Segmentation Map
• A Reverse Causal Framework to Mitigate Spurious Correlations for Debiasing Scene Graph Generation
• On the Validity of Head Motion Patterns as Generalisable Depression Biomarkers
• ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation
• Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
• Accurate and Energy-Efficient Classification with Spiking Random Neural Network: Corrected and Expanded Version
• Interaction-Aware Trajectory Prediction of Connected Vehicles using CNN-LSTM Networks
• The Nonlinearity Coefficient - A Practical Guide to Neural Architecture Design
• Deep Cross-modal Hashing via Margin-dynamic-softmax Loss
• Advancing Image Super-resolution Techniques in Remote Sensing: A Comprehensive Survey
• WTEFNet: Real-Time Low-Light Object Detection for Advanced Driver Assistance Systems
• The Case for Strong Scaling in Deep Learning: Training Large 3D CNNs with Hybrid Parallelism
• Zero-Shot Learning with Sparse Attribute Propagation
• Toward Optimal Run Racing: Application to Deep Learning Calibration
• Deep Learning Bandgaps of Topologically Doped Graphene
• Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach
• Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors
• Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation
• Hardware Synthesis of State-Space Equations; Application to FPGA Implementation of Shallow and Deep Neural Networks
• Differential Gated Self-Attention
• RLScheduler: An Automated HPC Batch Job Scheduler Using Reinforcement Learning
• Balancing Robustness and Sensitivity using Feature Contrastive Learning
• Using Database Rule for Weak Supervised Text-to-SQL Generation
• SafeNet: An Assistive Solution to Assess Incoming Threats for Premises
• Unshuffling Data for Improved Generalization
• End-to-end Compression Towards Machine Vision: Network Architecture Design and Optimization
• Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis
• Deep Embedded K-Means Clustering
• STEERAGE: Synthesis of Neural Networks Using Architecture Search and Grow-and-Prune Methods
• EquiReg: Equivariance Regularized Diffusion for Inverse Problems
• O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning
• CrossNAS: A Cross-Layer Neural Architecture Search Framework for PIM Systems
• EEG-Inception: An Accurate and Robust End-to-End Neural Network for EEG-based Motor Imagery Classification
• Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs
• Interpretable Scaling Behavior in Sparse Subnetwork Representations of Quantum States
• Towards Understanding the Transferability of Deep Representations
• Analogy Search Engine: Finding Analogies in Cross-Domain Research Papers
• End-to-End Learned Image Compression with Quantized Weights and Activations
• Macromolecule Classification Based on the Amino-acid Sequence
• Multi-Modal Pedestrian Detection with Large Misalignment Based on Modal-Wise Regression and Multi-Modal IoU
• Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
• The Resurrection of the ReLU
• From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees
• Deep Learning with Low Precision by Half-wave Gaussian Quantization
• Test-time augmentation improves efficiency in conformal prediction
• Initializing Perturbations in Multiple Directions for Fast Adversarial Training
• Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images
• Turning a Blind Eye: Explicit Removal of Biases and Variation from Deep Neural Network Embeddings
• Adversarial Attacks on Deep Learning Based mmWave Beam Prediction in 5G and Beyond
• S2AFormer: Strip Self-Attention for Efficient Vision Transformer
• A Survey of Behavior Learning Applications in Robotics -- State of the Art and Perspectives
• Streaming Object Detection for 3-D Point Clouds
• Continual Learning Beyond Experience Rehearsal and Full Model Surrogates
• Domain-Specific Suppression for Adaptive Object Detection
• BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite
• Large Scale Indexing of Generic Medical Image Data using Unbiased Shallow Keypoints and Deep CNN Features
• Expressive yet Efficient Feature Expansion with Adaptive Cross-Hadamard Products
• MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning
• Transformer-Unet: Raw Image Processing with Unet
• A Novel ANN Structure for Image Recognition
• End to End Binarized Neural Networks for Text Classification
• Mitigating Generation Shifts for Generalized Zero-Shot Learning
• Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach
• End-to-end feature fusion siamese network for adaptive visual tracking
• Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks
• EgoCoder: Intelligent Program Synthesis with Hierarchical Sequential Neural Network Model
• Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
• SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach
• Characterizing the Reynolds number dependence of the chaotic attractor in two-dimensional turbulence with dimension-minimizing autoencoders
• How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning
• VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images
• Long-Short Temporal Contrastive Learning of Video Transformers
• Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
• Sharpness-Aware Minimization with Z-Score Gradient Filtering
• MetaSlot: Break Through the Fixed Number of Slots in Object-Centric Learning
• Look, Listen and Learn - A Multimodal LSTM for Speaker Identification
• SISC: End-to-end Interpretable Discovery Radiomics-Driven Lung Cancer Prediction via Stacked Interpretable Sequencing Cells
• Compositional Scene Understanding through Inverse Generative Modeling
• Identifying and Exploiting Structures for Reliable Deep Learning
• The Physics of Local Optimization in Complex Disordered Systems
• Improving the Perceptual Quality of 2D Animation Interpolation
• A Novel BiLevel Paradigm for Image-to-Image Translation
• Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
• Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
• Copresheaf Topological Neural Networks: A Generalized Deep Learning Framework
• One-Time Soft Alignment Enables Resilient Learning without Weight Transport
• PHISH in MESH: Korean Adversarial Phonetic Substitution and Phonetic-Semantic Feature Integration Defense
• Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility
• PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
• Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations
• Focusing on Shadows for Predicting Heightmaps from Single Remotely Sensed RGB Images with Deep Learning
• Multiple Descent: Design Your Own Generalization Curve
• ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting
• Rethinking Recurrent Neural Networks and Other Improvements for Image Classification
• Indirect Domain Shift for Single Image Dehazing
• GateNet: Gating-Enhanced Deep Network for Click-Through Rate Prediction
• Kernel Quantile Embeddings and Associated Probability Metrics
• Position, Padding and Predictions: A Deeper Look at Position Information in CNNs
• Large-Scale Attribute-Object Compositions
• Learning to detect dysarthria from raw speech
• Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
• Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation
• Learning and Interpreting Gravitational-Wave Features from CNNs with a Random Forest Approach
• Video-aided Unsupervised Grammar Induction
• Exploring the Possibility of TypiClust for Low-Budget Federated Active Learning
• ErpGS: Equirectangular Image Rendering enhanced with 3D Gaussian Regularization
• Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings
• Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer
• Rethinking Bottleneck Structure for Efficient Mobile Network Design
• EfficientSeg: An Efficient Semantic Segmentation Network
• Detecting Volcano Deformation in InSAR using Deep learning
• Left ventricle segmentation By modelling uncertainty in prediction of deep convolutional neural networks and adaptive thresholding inference
• From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance
• A Novel Convolutional Neural Network-Based Framework for Complex Multiclass Brassica Seed Classification
• Distributed Learning and its Application for Time-Series Prediction
• Predicting Onflow Parameters Using Transfer Learning for Domain and Task Adaptation
• Sample Efficient Adaptive Text-to-Speech
• Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity
• Adversarial collision attacks on image hashing functions
• Class Incremental Online Streaming Learning
• Min-Entropy Latent Model for Weakly Supervised Object Detection
• Deep Learning Based Text Classification: A Comprehensive Review
• Self-Supervised Out-of-Distribution Detection in Brain CT Scans
• Learning a Domain Classifier Bank for Unsupervised Adaptive Object Detection
• OB3D: A New Dataset for Benchmarking Omnidirectional 3D Reconstruction Using Blender
• A Regularization-Guided Equivariant Approach for Image Restoration
• Shape-Texture Debiased Neural Network Training
• Fracking Deep Convolutional Image Descriptors
• Boosting Convolutional Features for Robust Object Proposals
• MomentsNet: a simple learning-free method for binary image recognition
• A Computational Method for Evaluating UI Patterns
• Recursive Inference for Variational Autoencoders
• Towards A Multi-agent System for Online Hate Speech Detection
• Coast Sargassum Level Estimation from Smartphone Pictures
• Jodi: Unification of Visual Generation and Understanding via Joint Modeling
• Co-AttenDWG: Co-Attentive Dimension-Wise Gating and Expert Fusion for Multi-Modal Offensive Content Detection
• An Abstraction Model for Semantic Segmentation Algorithms
• EMPNet: Neural Localisation and Mapping Using Embedded Memory Points
• Efficient SRAM-PIM Co-design by Joint Exploration of Value-Level and Bit-Level Sparsity
• SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency
• Lightweight Classification of IoT Malware based on Image Recognition
• DispVoxNets: Non-Rigid Point Set Alignment with Supervised Learning Proxies
• Do Large Language Models (Really) Need Statistical Foundations?
• Transaction-level Model Simulator for Communication-Limited Accelerators
• Greedy Network Enlarging
• Weight Evolution: Improving Deep Neural Networks Training through Evolving Inferior Weight Values
• AVD: Adversarial Video Distillation
• Engineering problems in machine learning systems
• Raiders of the Lost Architecture: Kernels for Bayesian Optimization in Conditional Parameter Spaces
• DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
• An Efficient Accelerator Design Methodology for Deformable Convolutional Networks
• AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop
• Path Aggregation Network for Instance Segmentation
• An Artificial Intelligence Model for Early Stage Breast Cancer Detection from Biopsy Images
• Guiding the Experts: Semantic Priors for Efficient and Focused MoE Routing
• Cell Detection in Microscopy Images with Deep Convolutional Neural Network and Compressed Sensing
• Performance and Generalizability Impacts of Incorporating Location Encoders into Deep Learning for Dynamic PM2.5 Estimation
• Generative Interventions for Causal Learning
• Incremental Meta-Learning via Indirect Discriminant Alignment
• Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators
• Distinctive Feature Codec: An Adaptive Efficient Speech Representation for Depression Detection
• From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models
• Dense Human Body Correspondences Using Convolutional Networks
• Generative AI and foundation models in medical image
• Deep Learning-Based Detection of the Acute Respiratory Distress Syndrome: What Are the Models Learning?
• Data-driven forecasting of solar irradiance
• Self-Adaptive Partial Domain Adaptation
• Cross Attention Network for Semantic Segmentation
• Recover Canonical-View Faces in the Wild with Deep Neural Networks
• Image Resizing by Reconstruction from Deep Features
• LookUP: Vision-Only Real-Time Precise Underground Localisation for Autonomous Mining Vehicles
• LANCE: Efficient Low-Precision Quantized Winograd Convolution for Neural Networks Based on Graphics Processing Units
• Universal Adversarial Perturbations Generative Network for Speaker Recognition
• Feature Preserving Shrinkage on Bayesian Neural Networks via the R2D2 Prior
• TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
• Beyond Discreteness: Finite-Sample Analysis of Straight-Through Estimator for Quantization
• A Caching Strategy Towards Maximal D2D Assisted Offloading Gain
• Clustering Effect of (Linearized) Adversarial Robust Models
• Graph Cut Segmentation Methods Revisited with a Quantum Algorithm
• Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection
• Less is more: Selecting informative and diverse subsets with balancing constraints
• 3D-OOCS: Learning Prostate Segmentation with Inductive Bias
• Joint Group Feature Selection and Discriminative Filter Learning for Robust Visual Object Tracking
• Difficulty Translation in Histopathology Images
• Evaluation Framework For Large-scale Federated Learning
• IDK Cascades: Fast Deep Learning by Learning not to Overthink
• PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices
• Enabling Retrain-free Deep Neural Network Pruning using Surrogate Lagrangian Relaxation
• Promptable cancer segmentation using minimal expert-curated data
• Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
• Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
• Structured Proxy Features for Multimodal NSCLC Survival Prediction from Pretreatment CT
• Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition
• Radar Detection in the CBRS Band: Techniques, Challenges, and Future Directions
• A simple and effective postprocessing method for image classification
• A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout
• Centripetal SGD for Pruning Very Deep Convolutional Networks with Complicated Structure
• An Approach for Process Model Extraction By Multi-Grained Text Classification
• BGADAM: Boosting based Genetic-Evolutionary ADAM for Neural Network Optimization
• F1/10: An Open-Source Autonomous Cyber-Physical Platform
• AlignSeg: Feature-Aligned Segmentation Networks
• Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals
• Enhancing the Discriminative Feature Learning for Visible-Thermal Cross-Modality Person Re-Identification
• A Halo Merger Tree Generation and Evaluation Framework
• Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification
• Machine Vision for Natural Gas Methane Emissions Detection Using an Infrared Camera
• EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion
• Behaviour Suite for Reinforcement Learning
• Towards Panoptic 3D Parsing for Single Image in the Wild
• Improving the Certified Robustness of Neural Networks via Consistency Regularization
• What Objective Does Self-paced Learning Indeed Optimize?
• Fast and Efficient Zero-Learning Image Fusion
• Machine Vision in the Context of Robotics: A Systematic Literature Review
• CycleMLP: A MLP-like Architecture for Dense Prediction
• Information Fusion in Attention Networks Using Adaptive and Multi-level Factorized Bilinear Pooling for Audio-visual Emotion Recognition
• Task-Aware Variational Adversarial Active Learning
• Learning Efficient Video Representation with Video Shuffle Networks
• A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings
• DDR-ID: Dual Deep Reconstruction Networks Based Image Decomposition for Anomaly Detection
• Adversarial Learning of General Transformations for Data Augmentation
• The Local Elasticity of Neural Networks
• Natural vs Balanced Distribution in Deep Learning on Whole Slide Images for Cancer Detection
• Complexity and Diversity in Sparse Code Priors Improve Receptive Field Characterization of Macaque V1 Neurons
• Attention Transfer Network for Aspect-level Sentiment Classification
• Distilling Pixel-Wise Feature Similarities for Semantic Segmentation
• Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification
• Seeing through Satellite Images at Street Views
• Critical Points of Random Neural Networks
• Rewrite the Stars
• Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
• Making Convex Loss Functions Robust to Outliers using e-Exponentiated Transformation
• From Sound Representation to Model Robustness
• Deep localization of protein structures in fluorescence microscopy images
• Encrypted Speech Recognition using Deep Polynomial Networks
• Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks
• Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition
• Multi-label classification of promotions in digital leaflets using textual and visual information
• A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
• SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
• Entity Linking Meets Deep Learning: Techniques and Solutions
• Deep Learning-Driven Ultra-High-Definition Image Restoration: A Survey
• Small-to-Large Generalization: Data Influences Models Consistently Across Scale
• Data-Driven Breakthroughs and Future Directions in AI Infrastructure: A Comprehensive Review
• Do Convnets Learn Correspondence?
• Model Similarity Mitigates Test Set Overuse
• Forward and Backward Information Retention for Accurate Binary Neural Networks
• Deep Goal-Oriented Clustering
• BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function
• Erased or Dormant? Rethinking Concept Erasure Through Reversibility
• Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
• An Empirical Study of Graph Contrastive Learning
• SPGNet: Semantic Prediction Guidance for Scene Parsing
• Convolutional Hough Matching Networks
• An ETF view of Dropout regularization
• A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting
• Fast Quantum Property Prediction via Deeper 2D and 3D Graph Networks
• Redox: Improving I/O Efficiency of Model Training Through File Redirection
• CryptoNN: Training Neural Networks over Encrypted Data
• COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
• Learning Dynamic Alignment via Meta-filter for Few-shot Learning
• Enhancing Monte Carlo Dropout Performance for Uncertainty Quantification
• BosphorusSign22k Sign Language Recognition Dataset
• Representation Learning for Electronic Health Records
• Embodied Visual Recognition
• Neuromorphic Mimicry Attacks Exploiting Brain-Inspired Computing for Covert Cyber Intrusions
• Degree-Optimized Cumulative Polynomial Kolmogorov-Arnold Networks
• Contrastive Learning-Enhanced Trajectory Matching for Small-Scale Dataset Distillation
• Geometrically Regularized Transfer Learning with On-Manifold and Off-Manifold Perturbation
• From Pixels to Images: A Structural Survey of Deep Learning Paradigms in Remote Sensing Image Semantic Segmentation
• Deep Learning Enabled Segmentation, Classification and Risk Assessment of Cervical Cancer
• Deep Networks with Fast Retraining
• Road Network Metric Learning for Estimated Time of Arrival
• Improving Review Representations with User Attention and Product Attention for Sentiment Classification
• Synthesize then Compare: Detecting Failures and Anomalies for Semantic Segmentation
• Spectral Analysis of Latent Representations
• Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
• Deep Stacked Hierarchical Multi-patch Network for Image Deblurring
• GenFT: A Generative Parameter-Efficient Fine-Tuning Method for Pretrained Foundation Models
• Accelerating Deep Unsupervised Domain Adaptation with Transfer Channel Pruning
• Body Part Regression for CT Images
• VET-DINO: Learning Anatomical Understanding Through Multi-View Distillation in Veterinary Imaging
• FDDWNet: A Lightweight Convolutional Neural Network for Real-time Sementic Segmentation
• TBT: Targeted Neural Network Attack with Bit Trojan
• Learning From Long-Tailed Data With Noisy Labels
• Can machines learn to see without visual databases?
• Dynamic Group Convolution for Accelerating Convolutional Neural Networks
• Training Deep Learning Based Denoisers without Ground Truth Data
• Multi-resolution Outlier Pooling for Sorghum Classification
• Spatiotemporal Attacks for Embodied Agents
• TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
• Recognizing Instagram Filtered Images with Feature De-stylization
• Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
• Minimizing Supervision in Multi-label Categorization
• Exploring Vision Transformers for Fine-grained Classification
• Bridging Predictive Coding and MDL: A Two-Part Code Framework for Deep Learning
• Vid2World: Crafting Video Diffusion Models to Interactive World Models
• FractalMamba++: Scaling Vision Mamba Across Resolutions via Hilbert Fractal Geometry
• Perceive Your Users in Depth: Learning Universal User Representations from Multiple E-commerce Tasks
• No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning
• Generative Hierarchical Features from Synthesizing Images
• Investigating Emotion-Color Association in Deep Neural Networks
• Learning a Single Tucker Decomposition Network for Lossy Image Compression with Multiple Bits-Per-Pixel Rates
• Object Detection based on Region Decomposition and Assembly
• Tasks Structure Regularization in Multi-Task Learning for Improving Facial Attribute Prediction
• DOA estimation based on CNN for underwater acoustic array
• Self Distillation via Iterative Constructive Perturbations
• Enhancing Classification with Semi-Supervised Deep Learning Using Distance-Based Sample Weights
• Attention Based Pruning for Shift Networks
• Selective Structured State Space for Multispectral-fused Small Target Detection
• LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes
• Weisfeiler-Lehman Embedding for Molecular Graph Neural Networks
• Neural network-based modelling of unresolved stresses in a turbulent reacting flow with mean shear
• Boundary-Preserved Deep Denoising of the Stochastic Resonance Enhanced Multiphoton Images
• Anomaly Detection Based on Critical Paths for Deep Neural Networks
• Deep Ranking with Adaptive Margin Triplet Loss
• The Compressed Model of Residual CNDS
• MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers
• Understanding Task Representations in Neural Networks via Bayesian Ablation
• Bioinformatics and Medicine in the Era of Deep Learning
• Hard Class Rectification for Domain Adaptation
• Mitigating Uncertainty of Classifier for Unsupervised Domain Adaptation
• JUWELS Booster -- A Supercomputer for Large-Scale AI Research
• RepPoints: Point Set Representation for Object Detection
• StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching
• Image Annotation based on Deep Hierarchical Context Networks
• On the geometry of generalization and memorization in deep neural networks
• DynaNoise: Dynamic Probabilistic Noise Injection for Defending Against Membership Inference Attacks
• WiPIN: Operation-free Passive Person Identification Using Wi-Fi Signals
• Agile Domain Adaptation
• LadderNet: Multi-path networks based on U-Net for medical image segmentation
• Data-driven Weight Initialization with Sylvester Solvers
• Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
• Universal Domain Adaptation through Self Supervision
• Convolutional Networks with Dense Connectivity
• Collaborative Teacher-Student Learning via Multiple Knowledge Transfer
• MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation
• What Is Considered Complete for Visual Recognition?
• TBD: Benchmarking and Analyzing Deep Neural Network Training
• Memory-Free Generative Replay For Class-Incremental Learning
• An introduction to Neural Networks for Physicists
• Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification
• Brain tumor detection and multi‐classification using advanced deep learning techniques
• Performance Characterization of Distributed Deep Learning Strategies: A Quantitative Evaluation of DDP, FSDP, and Parameter Server Architectures on GPU Clusters
• Generating Socially Acceptable Perturbations for Efficient Evaluation of Autonomous Vehicles
• Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
• High-dimensional structure underlying individual differences in naturalistic visual experience
• Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks
• Bandwidth-based Step-Sizes for Non-Convex Stochastic Optimization
• Additive Noise Annealing and Approximation Properties of Quantized Neural Networks
• Computer Vision Models Show Human-Like Sensitivity to Geometric and Topological Concepts
• Language Models That Walk the Talk: A Framework for Formal Fairness Certificates
• AGI-Elo: How Far Are We From Mastering A Task?
• VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data
• Full-stack Optimization for Accelerating CNNs with FPGA Validation
• Mamba-Adaptor: State Space Model Adaptor for Visual Recognition
• Parallel Layer Normalization for Universal Approximation
• Traceable Black-box Watermarks for Federated Learning
• SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection
• DD-Ranking: Rethinking the Evaluation of Dataset Distillation
• Deep Priority Hashing
• Targeted Attack for Deep Hashing based Retrieval
• Deformation Robust Roto-Scale-Translation Equivariant CNNs
• MAT: A simple yet strong baseline for identifying self-admitted technical debt
• Coarse and fine-grained automatic cropping deep convolutional neural network
• Batch-Instance Normalization for Adaptively Style-Invariant Neural Networks
• FreqSelect: Frequency-Aware fMRI-to-Image Reconstruction
• ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
• The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
• Energy-Aware Deep Learning on Resource-Constrained Hardware
• Overhead-MNIST: Machine Learning Baselines for Image Classification
• Synthetic History: Evaluating Visual Representations of the Past in Diffusion Models
• Sound Event Detection of Weakly Labelled Data with CNN-Transformer and Automatic Threshold Optimization
• Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction
• Learning Social Relation Traits from Face Images
• E2-Train: Training State-of-the-art CNNs with Over 80% Energy Savings
• PoLO: Proof-of-Learning and Proof-of-Ownership at Once with Chained Watermarking
• DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model
• CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers
• Build a Compact Binary Neural Network through Bit-level Sensitivity and Data Pruning
• Robust Federated Learning: The Case of Affine Distribution Shifts
• NeuroGen: Neural Network Parameter Generation via Large Language Models
• Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
• Improving Out-of-Domain Robustness with Targeted Augmentation in Frequency and Pixel Spaces
• GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
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• Urban land-use analysis using proximate sensing imagery: a survey
• Conditional Bures Metric for Domain Adaptation
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• MIRAGE: Robust multi-modal architectures translate fMRI-to-image models from vision to mental imagery
• Towards the Automatic Classification of Avian Flight Calls for Bioacoustic Monitoring
• Grounded Compositional Semantics for Finding and Describing Images with Sentences
• BoTShark: A Deep Learning Approach for Botnet Traffic Detection
• Mastering the game of Go with deep neural networks and tree search
• Classification of Android apps and malware using deep neural networks
• There’s plenty of room at the Top: What will drive computer performance after Moore’s law?
• Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models
• Convolutional Autoencoders for Data Compression and Anomaly Detection in Small Satellite Technologies
• SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
• Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects
• Leveraging Depth Maps and Attention Mechanisms for Enhanced Image Inpainting
• Do We Need More Training Data?
• Enhancing Vulnerability Reports with Automated and Augmented Description Summarization
• Frequency Feature Fusion Graph Network For Depression Diagnosis Via fNIRS
• Quantifying the Influence of Climate on Storm Activity Using Machine Learning
• Full interpretation of minimal images
• Enhancing event reconstruction for γ-ray particle detector arrays using transformers
• Evolution of Accuracy and Visual-Cognitive Errors in a Decade of Vision-Language AI Models
• You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
• DeepTox: Toxicity Prediction using Deep Learning
• Learning efficient haptic shape exploration with a rigid tactile sensor array
• Declinio Global de Especies
• Facial attractiveness of cleft patients: a direct comparison between artificial-intelligence-based scoring and conventional rater groups
• Hybrid Quantum-MambaVision: A Quantum-enhanced State Space Model for Calibrated Mixed-type Wafer Defect Detection
• Maximum Likelihood Reinforcement Learning
• Faster Predictive Coding Networks via Better Initialization
• Two-Stream Video Classification with Cross-Modality Attention
• Nested Learning: The Illusion of Deep Learning Architectures
• Data-Driven Stabilization of Unknown Linear-Threshold Network Dynamics
• Breast Cancer Detection from Multi-View Screening Mammograms with Visual Prompt Tuning
• AI Supply Chains: An Emerging Ecosystem of AI Actors, Products, and Services
• FusionNet: Multi-model Linear Fusion Framework for Low-light Image Enhancement
• Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques
• Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization
• SoCodeCNN: Program Source Code for Visual CNN Classification Using Computer Vision Methodology
• DEEP-GAP: Deep-learning Evaluation of Execution Parallelism in GPU Architectural Performance
• AIBuildAI: An AI Agent for Automatically Building AI Models
• RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
• PyViT-FUSE: A Foundation Model for Multi-Sensor Earth Observation Data
• 3DPyranet Features Fusion for Spatio-temporal Feature Learning
• Towards a deep learning approach for classifying treatment response in glioblastomas
• Experimental neuromorphic computing based on quantum memristor
• Gradient Descent as a Shrinkage Operator for Spectral Bias
• Human-level control through deep reinforcement learning
• Mastering the game of Go without human knowledge
• New types of deep neural network learning for speech recognition and related applications: an overview
• A Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification
• From Image-Level to Pixel-Level Labeling with Convolutional Networks
• Parallel Training of Deep Networks with Local Updates
• Deep bilateral learning for real-time image enhancement
• Overcoming catastrophic forgetting in neural networks
• Video Classification with Channel-Separated Convolutional Networks
• Classification of SARS-CoV-2 Variants through The Epistatical Circos Plots with Convolutional Neural Networks
• Deep learning for time series classification
• Certifying Joint Adversarial Robustness for Model Ensembles
• Efficient Segmentation: Learning Downsampling Near Semantic Boundaries
• DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks
• Game Theoretical Adversarial Deep Learning With Variational Adversaries
• Adversarial Deep Learning Models with Multiple Adversaries
• Person Re-Identification by Deep Joint Learning of Multi-Loss Classification
• Foveation-based Mechanisms Alleviate Adversarial Examples
• Ensemble deep learning: A review
• Contrastive Multiview Coding
• Revisiting Neural Retrieval on Accelerators
• When Celebrities Endorse Politicians: Analyzing the Behavior of Celebrity Followers in the 2016 U.S. Presidential Election
• Preprocessing Methods and Pipelines of Data Mining: An Overview
• VGG Fine-tuning for Cooking State Recognition
• KCP: Kernel Cluster Pruning for Dense Labeling Neural Networks
• Neuron Coverage-Guided Domain Generalization
• Channel-wise Dynamic Knowledge Distillation via Adaptive Sample Generation for Action Recognition
• Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition
• Towards artificial general intelligence with hybrid Tianjic chip architecture
• Self-supervised Learning with Fully Convolutional Networks
• Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems
• Stochastic Model Pruning via Weight Dropping Away and Back
• Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation
• Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks
• Acoustic Scene Classification Using Bilinear Pooling on Time-liked and Frequency-liked Convolution Neural Network
• A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes
• Learning Object Scale With Click Supervision for Object Detection
• Train and Deploy an Image Classifier for Disaster Response
• Learn to Interpret Atari Agents
• A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization
• HCNet: Hierarchical Context Network for Semantic Segmentation
• Learning Temporal Pose Estimation from Sparsely-Labeled Videos
• Image Classification base on PCA of Multi-view Deep Representation
• OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection
• Interpretable BoW Networks for Adversarial Example Detection
• Data Movement Is All You Need: A Case Study on Optimizing Transformers
• On Integrating Information Visualization Techniques into Data Mining: A Review
• Low-Rank Matrix Approximation for Neural Network Compression
• Pulsar Candidate Identification with Artificial Intelligence Techniques
• Learning deep spatiotemporal features for video captioning
• Advances in Deep Learning for Hyperspectral Image Analysis—Addressing Challenges Arising in Practical Imaging Scenarios
• Eye state recognition based on deep integrated neural network and transfer learning
• A deep learning framework for neuroscience
• Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
• Teacher-Student Training for Robust Tacotron-based TTS
• Analyzing Representations inside Convolutional Neural Networks
• A Discriminatively Learned CNN Embedding for Person Reidentification
• Multi-Objective Convolutional Neural Networks for Robot Localisation and 3D Position Estimation in 2D Camera Images
• Design Choices That Matter: A Functional ANOVA Analysis for Remote Sensing Multi-Label Classification
• Learning Abstract Classes using Deep Learning
• Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach
• Deep Semantic Multimodal Hashing Network for Scalable Image-Text and Video-Text Retrievals
• HENet: Forcing a Network to Think More for Font Recognition
• Monocular human pose estimation: A survey of deep learning-based methods
• Perturbation analysis of gradient-based adversarial attacks
• Careful analysis of XRD patterns with Attention
• Comparison of augmentation and pre-processing for deep learning and chemometric classification of infrared spectra
• Two Novel Performance Improvements for Evolving CNN Topologies
• Music Artist Classification with Convolutional Recurrent Neural Networks
• Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network
• Visual Text Correction
• Nonparametric regression using deep neural networks with ReLU activation function
• Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
• Occam’s Razor for Big Data? On Detecting Quality in Large Unstructured Datasets
• Transductive Zero-Shot Hashing for Multilabel Image Retrieval
• Visual Servoing for Pose Control of Soft Continuum Arm in a Structured Environment
• A deep learning approach for pose estimation from volumetric OCT data
• Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
• 3D Sketching using Multi-View Deep Volumetric Prediction
• FoodNet: Recognizing Foods Using Ensemble of Deep Networks
• Data augmentation in microscopic images for material data mining
• Deep convolutional neural networks for uncertainty propagation in random fields
• Text-Attentional Convolutional Neural Network for Scene Text Detection
• Video Imprint
• Exploring the Interchangeability of CNN Embedding Spaces
• Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
• Two-stream Fusion Model for Dynamic Hand Gesture Recognition using 3D-CNN and 2D-CNN Optical Flow guided Motion Template
• Bayesian Optimization for Iterative Learning
• Beware the Black-Box: On the Robustness of Recent Defenses to Adversarial Examples
• Recyclable Waste Identification Using CNN Image Recognition and Gaussian Clustering
• Rethinking multiscale cardiac electrophysiology with machine learning and predictive modelling
• An Improvement of Data Classification Using Random Multimodel Deep Learning (RMDL)
• Neural network models for the anisotropic Reynolds stress tensor in turbulent channel flow
• Representation Learning for Natural Language Processing
• Deep neural networks for record counting in historical handwritten documents
• Differentiable Neural Architecture Learning for Efficient Neural Network Design
• Efficient Inference via Universal LSH Kernel
• Grafted network for person re-identification
• MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects
• Bayesian multiscale deep generative model for the solution of high-dimensional inverse problems
• SegICP: Integrated deep semantic segmentation and pose estimation
• NaturalAE: Natural and robust physical adversarial examples for object detectors
• MobiVSR: A Visual Speech Recognition Solution for Mobile Devices
• Mind mappings: enabling efficient algorithm-accelerator mapping space search
• DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
• Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks
• A deep convolutional neural network to analyze position averaged convergent beam electron diffraction patterns
• DAQN: Deep Auto-encoder and Q-Network
• Retinal vessel segmentation based on Fully Convolutional Neural Networks
• Marginal Contribution Feature Importance -- an Axiomatic Approach for The Natural Case
• SR-clustering: Semantic regularized clustering for egocentric photo streams segmentation
• Memory Based Online Learning of Deep Representations from Video Streams
• Do citations and readership identify seminal publications?
• Exploring Deep and Recurrent Architectures for Optimal Control
• Copycat CNN: Are random non-Labeled data enough to steal knowledge from black-box models?
• On Intrinsic Dataset Properties for Adversarial Machine Learning
• Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
• Good Features to Correlate for Visual Tracking
• Practical Convex Formulation of Robust One-hidden-layer Neural Network Training
• Neural Networks as Explicit Word-Based Rules
• Ranking to Learn and Learning to Rank: On the Role of Ranking in Pattern Recognition Applications
• EEG Classification by factoring in Sensor Configuration
• Symbiotic Attention with Privileged Information for Egocentric Action Recognition
• Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
• Rapid Exact Signal Scanning With Deep Convolutional Neural Networks
• GEVO: GPU Code Optimization using Evolutionary Computation
• Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact
• Photonic Convolution Neural Network Based on Interleaved Time-Wavelength Modulation
• The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
• A survey of deep learning techniques for autonomous driving
• Vulnerability of Appearance-based Gaze Estimation
• Online Adaptation through Meta-Learning for Stereo Depth Estimation
• Systolic-CNN: An OpenCL-defined Scalable Run-time-flexible FPGA Accelerator Architecture for Accelerating Convolutional Neural Network Inference in Cloud/Edge Computing
• Identifying Lead Water Service Lines Using Ultrasonic Stress Wave Propagation and 1D-Convolutional Neural Network
• Unsupervised Deep Feature Extraction for Remote Sensing Image Classification
• Enhancing Privacy in Semantic Communication over Wiretap Channels leveraging Differential Privacy
• FRDet: Balanced and Lightweight Object Detector based on Fire-Residual Modules for Embedded Processor of Autonomous Driving
• OSVNet: Convolutional Siamese Network for Writer Independent Online\n Signature Verification
• Distilling Localization for Self-Supervised Representation Learning
• I-Con: A Unifying Framework for Representation Learning
• What Makes for a Good Saliency Map? Comparing Strategies for Evaluating Saliency Maps in Explainable AI (XAI)
• Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation
• IAN: Combining Generative Adversarial Networks for Imaginative Face Generation
• Reducing Adversarial Example Transferability Using Gradient Regularization
• Collaboration Analysis Using Deep Learning
• Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach
• Analyzing Learned Convnet Features with Dirichlet Process Gaussian Mixture Models
• Fingertip detection and tracking for recognition of air-writing in videos
• Machine-learning assisted quantum control in random environment
• Identifying eclipsing binary stars with TESS data based on a new hybrid deep learning model
• Deep learning and face recognition: the state of the art
• Deep Visual Waterline Detection within Inland Marine Environment
• Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
• Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks
• TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks
• LayerPipe: Accelerating Deep Neural Network Training by Intra-Layer and Inter-Layer Gradient Pipelining and Multiprocessor Scheduling
• Deep triplet hashing network for case-based medical image retrieval
• CNN-Based Deep Learning Model for Solar Wind Forecasting
• An accelerated correlation filter tracker
• Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs
• An attention-fused network for semantic segmentation of very-high-resolution remote sensing imagery
• Music Genre Classification Using Masked Conditional Neural Networks
• Neural Rating Regression with Abstractive Tips Generation for Recommendation
• Light-weighted Saliency Detection with Distinctively Lower Memory Cost and Model Size
• Relationship Oriented Affordance Learning through Manipulation Graph Construction
• On the Number of Linear Functions Composing Deep Neural Network: Towards\n a Refined Definition of Neural Networks Complexity
• Latent Cognizance: What Machine Really Learns
• Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks
• Global convergence of neuron birth-death dynamics
• Adversarial Attacks on Deep Neural Networks for Time Series Classification
• Deep Neural Network Ensembles for Time Series Classification
• Rapid visual categorization is not guided by early salience-based selection
• Learning deformable registration of medical images with anatomical constraints
• Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic Segmentation
• Building medical image classifiers with very limited data using segmentation networks
• Multiview Deep Learning for Predicting Twitter Users' Location
• Complex-valued neural networks for machine learning on non-stationary physical data
• Prospects for Theranostics in Neurosurgical Imaging: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning
• Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room
• On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case
• Boosting KNNClassifier Performance with Opposition-Based Data Transformation
• Large Hole Image Inpainting With Compress-Decompression Network
• ReMix: Calibrated Resampling for Class Imbalance in Deep learning
• Improving Landslide Detection on SAR Data Through Deep Learning
• Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities
• Learning from Few Samples: A Survey
• Adapting a global plant identification model to detect invasive alien plant species in high-resolution road side images
• SSDH: Semi-Supervised Deep Hashing for Large Scale Image Retrieval
• Analytical Softmax Temperature Setting from Feature Dimensions for Model- and Domain-Robust Classification
• The Open Images Dataset V4
• Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
• CANet: An Unsupervised Intrusion Detection System for High Dimensional CAN Bus Data
• Deep-learning-based image segmentation integrated with optical microscopy for automatically searching for two-dimensional materials
• Deep learning with missing data
• Autoencoding sensory substitution
• Controlling information capacity of binary neural network
• VeLU: Variance-enhanced Learning Unit for Deep Neural Networks
• Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics
• Locally Supervised Deep Hybrid Model for Scene Recognition
• Language Models for Materials Discovery and Sustainability: Progress, Challenges, and Opportunities
• ECViT: Efficient Convolutional Vision Transformer with Local-Attention and Multi-scale Stages
• Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
• Network Quantization with Element-wise Gradient Scaling
• Multiclass wound image classification using an ensemble deep CNN-based classifier
• Can We Ignore Labels In Out of Distribution Detection?
• Efficient Split Federated Learning for Large Language Models over Communication Networks
• Hardware-friendly Neural Network Architecture for Neuromorphic Computing
• Clustering and Classification Networks
• Bangla Handwritten Digit Recognition and Generation
• On Sampling Strategies for Neural Network-based Collaborative Filtering
• Noise-Level Estimation from Single Color Image Using Correlations Between Textures in RGB Channels
• Multiperson Continuous Tracking and Identification From mm-Wave Micro-Doppler Signatures
• Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning
• Accelerating Deep Learning with Shrinkage and Recall
• Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation
• Text Detection and Recognition in the Wild: A Review
• Data-driven Regularization via Racecar Training for Generalizing Neural Networks
• StackMix: A complementary Mix algorithm
• Deep Learning-Based Vehicle Behavior Prediction for Autonomous Driving Applications: A Review
• Ensemble Kalman inversion: a derivative-free technique for machine learning tasks
• FingerNet: Pushing The Limits of Fingerprint Recognition Using Convolutional Neural Network
• Watch It Twice: Video Captioning with a Refocused Video Encoder
• Context-based object viewpoint estimation: A 2D relational approach
• Quasi-hyperbolic momentum and Adam for deep learning
• Human Pose and Path Estimation from Aerial Video Using Dynamic Classifier Selection
• Free annotated data for deep learning in microscopy? A hitchhiker’s guide
• Neural ODE to model and prognose thermoacoustic instability
• Convolutional Sparse Coding Fast Approximation With Application to Seismic Reflectivity Estimation
• SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification
• Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks
• Leveraging Generative AI Models to Explore Human Identity
• Internal noise in hardware deep and recurrent neural networks helps with learning
• Rapidly Adapting Moment Estimation
• Networks with pixels embedding: a method to improve noise resistance in images classification
• AutoSlim: Towards One-Shot Architecture Search for Channel Numbers
• A Study on Action Detection in the Wild
• AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation
• Fashionista: A Fashion-aware Graphical System for Exploring Visually Similar Items
• EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks
• Spatially-Adaptive Filter Units for Compact and Efficient Deep Neural Networks
• 3D Human Pose Machines with Self-supervised Learning
• Masked Conditional Neural Networks for Audio Classification
• Shoulder Implant X-Ray Manufacturer Classification: Exploring with Vision Transformer
• Scattering Networks for Hybrid Representation Learning
• Ellipse R-CNN: Learning to Infer Elliptical Object From Clustering and Occlusion
• A survey on incorporating domain knowledge into deep learning for medical image analysis
• Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery
• ActionFlowNet: Learning Motion Representation for Action Recognition
• Unsupervised Deep Representation Learning and Few-Shot Classification of PolSAR Images
• Robust unsupervised domain adaptation for neural networks via moment alignment
• Joint Facade Registration and Segmentation for Urban Localization
• On-device Filtering of Social Media Images for Efficient Storage
• HPC AI500: The Methodology, Tools, Roofline Performance Models, and Metrics for Benchmarking HPC AI Systems
• A Survey on Machine Learning Techniques for Source Code Analysis
• Urban Anomaly Analytics: Description, Detection, and Prediction
• Temporally Resolution Decrement: Utilizing the Shape Consistency for Higher Computational Efficiency
• Deep ensemble network with explicit complementary model for accuracy-balanced classification
• MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework
• OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions
• Simulating Nonlinearity in Quantum Neural Networks While Mitigating Barren Plateaus
• Denoising Prior Driven Deep Neural Network for Image Restoration
• GraphAIR: Graph representation learning with neighborhood aggregation and interaction
• Single image portrait relighting
• Automatic model based dataset generation for fast and accurate crop and weeds detection
• Deep Learning-Based Video Coding
• One-Shot Recognition of Manufacturing Defects in Steel Surfaces
• DASNet: Dynamic Activation Sparsity for Neural Network Efficiency Improvement
• Understanding and Improving Virtual Adversarial Training
• Representing text as abstract images enables image classifiers to also simultaneously classify text
• Analyzing the Dependency of ConvNets on Spatial Information
• Artificial intelligence and deep learning algorithms for epigenetic sequence analysis: A review for epigeneticists and AI experts
• Res2Net: A New Multi-Scale Backbone Architecture
• Detecting The Objects on The Road Using Modular Lightweight Network
• Data-driven rogue waves and parameter discovery in the defocusing nonlinear Schrödinger equation with a potential using the PINN deep learning
• Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes
• BoxCars: Improving Fine-Grained Recognition of Vehicles Using 3-D Bounding Boxes in Traffic Surveillance
• Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review
• CG-Net: Conditional GIS-aware Network for Individual Building Segmentation in VHR SAR Images
• Learning Without Feedback: Fixed Random Learning Signals Allow for Feedforward Training of Deep Neural Networks
• Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining
• Hidden unit specialization in layered neural networks: ReLU vs. sigmoidal activation
• Parameter estimation for the cosmic microwave background with Bayesian neural networks
• Magnification Generalization For Histopathology Image Embedding
• An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
• Pacemaker: Intermediate Teacher Knowledge Distillation For On-The-Fly Convolutional Neural Network
• High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors
• Epileptic Seizures Detection Using Deep Learning Techniques: A Review
• Discriminative Feature Learning With Foreground Attention for Person Re-Identification
• Fog Computing on Constrained Devices: Paving the Way for the Future IoT
• Deep learning microscopy
• Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems
• A Modular Analysis of Provable Acceleration via Polyak's Momentum: Training a Wide ReLU Network and a Deep Linear Network
• An Overview of Computational Approaches for Interpretation Analysis
• Seeing permeability from images: fast prediction with convolutional neural networks
• t-soft update of target network for deep reinforcement learning
• Deep divergence-based approach to clustering
• The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System
• Figuring Out Art History
• Cluster Pruning: An Efficient Filter Pruning Method for Edge AI Vision Applications
• An artificial intelligence atomic force microscope enabled by machine learning
• PaintBot: A Reinforcement Learning Approach for Natural Media Painting
• Deep learning in remote sensing applications: A meta-analysis and review
• Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
• Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator
• Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities
• Learning Spectral-Spatial-Temporal Features via a Recurrent Convolutional Neural Network for Change Detection in Multispectral Imagery
• The Application of Artificial Intelligence to Acoustic Data in Otolaryngology
• Application of Multi-channel 3D-cube Successive Convolution Network for Convective Storm Nowcasting
• Learning Material-Aware Local Descriptors for 3D Shapes
• Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
• Local Aggregation for Unsupervised Learning of Visual Embeddings
• Decorrelated Adversarial Learning for Age-Invariant Face Recognition
• Automated Search for Configurations of Deep Neural Network Architectures
• Dompteur: Taming Audio Adversarial Examples
• Deep Learning-based Type Identification of Volumetric MRI Sequences
• Complex sequential understanding through the awareness of spatial and temporal concepts
• Photometric search for exomoons by using convolutional neural networks
• Improvements to Context Based Self-Supervised Learning
• Comparing heterogeneous entities using artificial neural networks of trainable weighted structural components and machine-learned activation functions
• Jamming transition as a paradigm to understand the loss landscape of deep neural networks
• Real-time Deep Video Deinterlacing
• Neural Architecture Transfer
• Deep convolutions for in-depth automated rock typing
• Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors
• AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks
• Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
• Deep Learning for Visual Tracking: A Comprehensive Survey
• Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma
• Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection
• Deep Learning for Scene Classification: A Survey
• NNWarp: Neural Network-based Nonlinear Deformation
• The Emerging Trends of Multi-Label Learning
• What Looks Good with my Sofa: Ensemble Multimodal Search for Interior Design
• Understanding More about Human and Machine Attention in Deep Neural Networks
• Automatic Prediction of Building Age from Photographs
• Semantic Relation Preserving Knowledge Distillation for Image-to-Image Translation
• SlowFast Networks for Video Recognition
• Tom: Leveraging trend of the observed gradients for faster convergence
• Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color Filter
• Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
• Rice Classification Using Spatio-Spectral Deep Convolutional Neural Network
• Planning Robot Motion using Deep Visual Prediction
• New bag of deep visual words based features to classify chest x-ray images for COVID-19 diagnosis
• Spatial–Temporal Recurrent Neural Network for Emotion Recognition
• Dual Contradistinctive Generative Autoencoder
• Recognition of ischaemia and infection in diabetic foot ulcers: Dataset and techniques
• Deep Learning Architect: Classification for Architectural Design through the Eye of Artificial Intelligence
• Environmental Sound Recognition Using Masked Conditional Neural Networks
• Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning
• Putting the Segment Anything Model to the Test with 3D Knee MRI - A Comparison with State-of-the-Art Performance
• EgoFace: Egocentric Face Performance Capture and Videorealistic\n Reenactment
• A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
• ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation Models
• On Procedural Adversarial Noise Attack And Defense
• Geometric deep learning for computational mechanics Part I: anisotropic hyperelasticity
• Survey on Vision-Based Path Prediction
• A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
• Deep learning at the shallow end: Malware classification for non-domain experts
• AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification
• What does fault tolerant Deep Learning need from MPI?
• Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
• Classification-Based Analysis of Price Pattern Differences Between Cryptocurrencies and Stocks
• Locally Scale-Invariant Convolutional Neural Networks
• ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery
• Human counting versus artificial intelligence for assessing medullation in mohair fibres
• TacoDepth: Towards Efficient Radar-Camera Depth Estimation with One-stage Fusion
• Novel-view X-ray Projection Synthesis through Geometry-Integrated Deep Learning
• RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
• Deep Anatomical Federated Network (Dafne): An Open Client-Server Framework for Continuous, Collaborative Improvement of Deep Learning–based Medical Image Segmentation
• Generating Adversarial Examples with an Optimized Quality
• Deep Learning-Based Prediction of Key Performance Indicators for Electrical Machines
• Threshold-Based Early Stopping of Accumulations in Neural Networks with Binary Activation
• Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration
• MirBot: A collaborative object recognition system for smartphones using convolutional neural networks
• Topological shape transform for thymus structures
• Classifying and segmenting microscopy images with deep multiple instance learning
• The Pontryagin Maximum Principle for Training Convolutional Neural Networks
• AtlasD: Automatic Local Symmetry Discovery
• SoK: Can Fully Homomorphic Encryption Support General AI Computation? A Functional and Cost Analysis
• ConvShareViT: Enhancing Vision Transformers with Convolutional Attention Mechanisms for Free-Space Optical Accelerators
• The road to commercial success for neuromorphic technologies
• Action-Attending Graphic Neural Network
• An Image is Worth K Topics: A Visual Structural Topic Model with Pretrained Image Embeddings
• Learning with Spike Synchrony in Spiking Neural Networks
• GFT: Gradient Focal Transformer
• EBAD-Gaussian: Event-driven Bundle Adjusted Deblur Gaussian Splatting
• LEMUR Neural Network Dataset: Towards Seamless AutoML
• Continual learning for rotating machinery fault diagnosis with cross-domain environmental and operational variations
• BLAST: Bayesian online change-point detection with structured image data
• FractalForensics: Proactive Deepfake Detection and Localization via Fractal Watermarks
• A review on deep learning for vision-based hand detection, hand segmentation and hand gesture recognition in human–robot interaction
• Bregman Linearized Augmented Lagrangian Method for Nonconvex Constrained Stochastic Zeroth-order Optimization
• B-DRRN: A Block Information Constrained Deep Recursive Residual Network for Video Compression Artifacts Reduction
• Beyond Glucose-Only Assessment: Advancing Nocturnal Hypoglycemia Prediction in Children with Type 1 Diabetes
• Spiking Neural Network for Intra-cortical Brain Signal Decoding
• Quantum Large Language Model Fine-Tuning
• Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
• Light-YOLOv8-Flame: A Lightweight High-Performance Flame Detection Algorithm
• Comparative Analysis of Different Methods for Classifying Polychromatic Sketches
• Boosting-inspired online learning with transfer for railway maintenance
• Statistically guided deep learning
• Domain Generalization via Semi-supervised Meta Learning
• Smoother Network Tuning and Interpolation for Continuous-level Image Processing
• Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information
• GenEAva: Generating Cartoon Avatars with Fine-Grained Facial Expressions from Realistic Diffusion-based Faces
• What Makes Multi-modal Learning Better than Single (Provably)
• Multistream Vision Transformer Fusion with Stain-Physics Priors for Reliable Colorectal Histopathology Classification
• Building damage annotation on post-hurricane satellite imagery based on convolutional neural networks
• A Scale Invariant Flatness Measure for Deep Network Minima
• Digital Neuron: A Hardware Inference Accelerator for Convolutional Deep Neural Networks
• Workload-aware Automatic Parallelization for Multi-GPU DNN Training
• Two-stage framework for optic disc localization and glaucoma classification in retinal fundus images using deep learning
• Attributes-aware Visual Emotion Representation Learning
• Robust Classification with Noisy Labels Based on Posterior Maximization
• Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications
• Compound and Parallel Modes of Tropical Convolutional Neural Networks
• Beyond Moore's Law: Harnessing the Redshift of Generative AI with Effective Hardware-Software Co-Design
• Adam revisited: a weighted past gradients perspective
• The Function Representation of Artificial Neural Network
• A Meaningful Perturbation Metric for Evaluating Explainability Methods
• LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing
• Examining Joint Demosaicing and Denoising for Single-, Quad-, and Nona-Bayer Patterns
• GIGA: Generalizable Sparse Image-driven Gaussian Humans
• Optuna vs Code Llama: Are LLMs a New Paradigm for Hyperparameter Tuning?
• Defending Deep Neural Networks against Backdoor Attacks via Module Switching
• Identifying implementation bugs in machine learning based image classifiers using metamorphic testing
• Unsupervised learning from videos using temporal coherency deep networks
• Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition
• Generative Adversarial Networks with Limited Data: A Survey and Benchmarking
• A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality
• Don't Lag, RAG: Training-Free Adversarial Detection Using RAG
• Strawberry Detection using Mixed Training on Simulated and Real Data
• Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior. [europepmc]
• Computer-aided detection in chest radiography based on artificial intelligence: a survey. [europepmc]
• Skin Cancer Classification Using Convolutional Neural Networks: Systematic Review. [europepmc]
• A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease. [europepmc]
• Artificial intelligence and machine learning in clinical development: a translational perspective. [europepmc]
• Key Topics in Molecular Docking for Drug Design. [europepmc]
• Artificial Intelligence in Lung Cancer Pathology Image Analysis. [europepmc]
• Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms. [europepmc]
• 3D Deep Learning on Medical Images: A Review. [europepmc]
• Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning. [europepmc]
• DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires. [europepmc]
• Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. [europepmc]
• The language of proteins: NLP, machine learning & protein sequences. [europepmc]
• Epileptic Seizures Detection Using Deep Learning Techniques: A Review. [europepmc]
• GNINA 1.0: molecular docking with deep learning. [europepmc]
• Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems. [europepmc]
• TransMed: Transformers Advance Multi-Modal Medical Image Classification. [europepmc]
• A review on deep learning in medical image analysis. [europepmc]
• Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope. [europepmc]
• The Role of Artificial Intelligence in Early Cancer Diagnosis. [europepmc]
• Radiology artificial intelligence: a systematic review and evaluation of methods (RAISE). [europepmc]
• A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images. [europepmc]
• Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review. [europepmc]
• Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging. [europepmc]
• How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications. [europepmc]