31. A semi-supervised approach to dark matter searches in direct detection data with machine learning
    2021/10/31 by Juan Herrero-García, Juan Herrero-Garcia, Riley Patrick +1 · 1 citation
    Physics and Astronomy · #Anomaly (physics) #Anomaly detection #Artificial intelligence #Artificial neural network #Autoencoder #Computer science #Context (archaeology) #Convolutional neural network #Cosmology and Gravitation Theories #Dark Matter and Cosmic Phenomena #Deep learning #Feature learning #Inference #Machine learning #Particle physics theoretical and experimental studies #Pattern recognition (psychology) #Physics #Representation (politics) #Supervised learning #Unsupervised learning #hep-ph
32. Click-through Rate Prediction with Auto-Quantized Contrastive Learning
    2021/09/27 by Yujie Pan, Pan, Yujie, Jiangchao Yao +9 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Algorithm #Artificial Intelligence (cs.AI) #Artificial intelligence #Caching and Content Delivery #Computer science #FOS: Computer and information sciences #Feature learning #Identification (biology) #Image (mathematics) #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine learning #Natural language processing #Quantization (signal processing) #Recommender Systems and Techniques #Representation (politics) #Similarity (geometry) #cs.AI #cs.IR #cs.LG
33. Graph Embedding via Diffusion-Wavelets-Based Node Feature Distribution Characterization
    2021/09/14 by Lili Wang, Cheng‐Han Huang, Chenghan Huang +3 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Algorithm #Artificial intelligence #Complex Network Analysis Techniques #Computer science #Embedding #Feature learning #Graph #Graph embedding #Machine learning #Margin (machine learning) #Pattern recognition (psychology) #Recommender Systems and Techniques #Theoretical computer science #cs.AI #cs.LG #cs.SI
34. Do Vision Transformers See Like Convolutional Neural Networks?
    2021/08/19 by Maithra Raghu, Raghu, Maithra, Thomas Unterthiner +7 · 2 voices · 101 citations
    Computer Science · Engineering · Mathematics · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Computer science #Convolutional neural network #De facto #Domain Adaptation and Few-Shot Learning #Engineering #Feature learning #Machine learning #Pattern recognition (psychology) #Residual #Transfer of learning #Transformer #cs.AI #cs.CV #cs.LG #stat.ML
35. Graph Trend Filtering Networks for Recommendations
    2021/08/12 by Wenqi Fan, Fan, Wenqi, Xiaorui Liu +9 · 6 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Artificial intelligence #Attention network #Bipartite graph #Collaborative filtering #Computer science #Exploit #FOS: Computer and information sciences #Feature learning #Graph #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine learning #Recommender Systems and Techniques #Recommender system #Robustness (evolution) #Social and Information Networks (cs.SI) #Theoretical computer science #cs.AI #cs.IR #cs.LG #cs.SI
36. Adaptive Normalized Representation Learning for Generalizable Face Anti-Spoofing
    2021/08/05 by Shubao Liu, Ke-Yue Zhang, Liu, Shubao +13 · 2 citations
    Computer Science · #Artificial intelligence #Biometric Identification and Security #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer security #Digital Media Forensic Detection #Discriminative model #FOS: Computer and information sciences #Face recognition and analysis #Feature extraction #Feature learning #Machine learning #Normalization (sociology) #Pattern recognition (psychology) #Representation (politics) #Robustness (evolution) #Spoofing attack #cs.CV
37. Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning
    2021/06/30 by Mingkun Xu, Yujie Wu, Xu, Mingkun +9 · 5 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Artificial intelligence #Artificial neural network #Computer science #FOS: Computer and information sciences #Feature learning #Ferroelectric and Negative Capacitance Devices #Graph #Machine Learning (cs.LG) #Machine learning #Neural and Evolutionary Computing (cs.NE) #Neuromorphic engineering #Normalization (sociology) #Pattern recognition (psychology) #Spiking neural network #Theoretical computer science #cs.LG #cs.NE
38. Unsupervised Object-Level Representation Learning from Scene Images
    2021/06/22 by Jiahao Xie, Xiaohang Zhan, Xie, Jiahao +8 · 11 citations
    Computer Science · #Advanced Neural Network Applications #Artificial intelligence #Artificial neural network #Cognitive neuroscience of visual object recognition #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Learning object #Leverage (statistics) #Machine learning #Multimodal Machine Learning Applications #Object (grammar) #Pattern recognition (psychology) #Representation (politics) #Semi-supervised learning #Supervised learning #Unsupervised learning #cs.CV
39. Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion
    2021/06/17 by Zhenguang Liu, Peng Qian, Liu, Zhenguang +9 · 9 citations
    Computer Science · #Artificial intelligence #Blockchain Technology Applications and Security #Code (set theory) #Computer science #Computer security #Currency Recognition and Detection #Data Stream Mining Techniques #Database #Deep learning #ENCODE #FOS: Computer and information sciences #Feature (linguistics) #Feature engineering #Feature learning #Graph #Knowledge graph #Machine Learning (cs.LG) #Machine learning #Programming Languages (cs.PL) #Programming language #Scalability #Source code #Theoretical computer science #Vulnerability (computing) #cs.LG #cs.PL
40. Category Contrast for Unsupervised Domain Adaptation in Visual Tasks
    2021/06/05 by Jiaxing Huang, Dayan Guan, Huang, Jiaxing +7 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Artificial intelligence #Bayesian probability #Classifier (UML) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Contrast (vision) #Discriminative model #Domain Adaptation and Few-Shot Learning #Domain adaptation #FOS: Computer and information sciences #Feature learning #Machine learning #Multimodal Machine Learning Applications #Natural language processing #Pattern recognition (psychology) #Prior probability #Representation (politics) #Segmentation #Semantics (computer science) #Set (abstract data type) #Unsupervised learning #cs.CV
41. Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention
    2021/05/27 by Byung-Hoon Kim, Kim, Byung-Hoon, Jong Chul Ye +4 · 14 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Environmental Science · Neuroscience · Psychology · #Advanced Graph Neural Networks #Artificial intelligence #Computer science #Connectome #Feature learning #Functional Brain Connectivity Studies #Functional connectivity #Graph #Health, Environment, Cognitive Aging #Human Connectome Project #Machine learning #Neuroscience #Power graph analysis #Psychology #Representation (politics) #Theoretical computer science #cs.CV #cs.LG #q-bio.NC
42. Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
    2021/04/27 by Michael M. Bronstein, Joan Bruna, Bronstein, Michael M. +5 · 7 voices · 231 citations
    Computer Science · Mathematics · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computational Geometry (cs.CG) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Curse of dimensionality #Deep learning #FOS: Computer and information sciences #Feature learning #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine learning #Simple (philosophy) #Theoretical computer science #Topological and Geometric Data Analysis #Unification #cs.AI #cs.CG #cs.CV #cs.LG #stat.ML
43. SSD: A Unified Framework for Self-Supervised Outlier Detection
    2021/03/22 by Vikash Sehwag, Mung Chiang, Sehwag, Vikash +3 · 40 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Anomaly detection #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data mining #Detector #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Key (lock) #Labeled data #Machine Learning (cs.LG) #Machine learning #Mahalanobis distance #Margin (machine learning) #Outlier #Pattern recognition (psychology) #Supervised learning #cs.AI #cs.CV #cs.LG
44. Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation
    2020/10/29 by Hang Dong, Víctor Suárez-Paniagua, Dong, Hang +5 · 6 citations
    Computer Science · #Artificial intelligence #Code (set theory) #Coding (social sciences) #Computer science #Deep learning #Embedding #Feature learning #Machine Learning in Healthcare #Machine learning #Natural Language Processing Techniques #Natural language processing #Neural coding #Topic Modeling #acm:68T07 #acm:68T50 #cs.CL #cs.LG #msc:68T07 #msc:68T50
45. RSPNet: Relative Speed Perception for Unsupervised Video Representation Learning
    2020/10/27 by Peihao Chen, Deng Huang, Chen, Peihao +13 · 13 citations
    Computer Science · #Action (physics) #Artificial intelligence #CLIPS #Computer science #Computer vision #Construct (python library) #Domain Adaptation and Few-Shot Learning #Exploit #Feature learning #Focus (optics) #Human Pose and Action Recognition #Machine learning #Motion (physics) #Multimodal Machine Learning Applications #Pattern recognition (psychology) #Perception #Representation (politics) #Task (project management) #Unsupervised learning #cs.CV
46. Lifelong Graph Learning
    2020/09/01 by Chen Wang, Wang, Chen, Yuheng Qiu +5 · 2 citations
    Computer Science · Mathematics · #Advanced Graph Neural Networks #Artificial intelligence #Computer science #Domain Adaptation and Few-Shot Learning #Feature learning #Graph #Human Pose and Action Recognition #Line graph #Theoretical computer science #Topological graph theory #Voltage graph #cs.LG #stat.ML
47. Attribute Prototype Network for Zero-Shot Learning
    2020/08/19 by Wenjia Xu, Yongqin Xian, Xu, Wenjia +7 · 21 citations
    Computer Science · #Advanced Neural Network Applications #Artificial intelligence #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Discriminative model #Domain Adaptation and Few-Shot Learning #Embedding #FOS: Computer and information sciences #Face recognition and analysis #Feature learning #Image (mathematics) #Locality #Machine Learning (cs.LG) #Machine learning #Pattern recognition (psychology) #Representation (politics) #Shot (pellet) #Zero (linguistics) #cs.CV #cs.LG
48. Self-supervised Temporal Discriminative Learning for Video Representation Learning
    2020/08/05 by Jinpeng Wang, Wang, Jinpeng, Yiqi Lin +6 · 1 citation
    Computer Science · Engineering · #Artificial intelligence #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Discriminative model #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Gait Recognition and Analysis #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine learning #Pattern recognition (psychology) #Representation (politics) #cs.CV
49. Graph Neural Networks Including Sparse Interpretability
    2020/06/30 by Chris Lin, Lin, Chris, Gerald J. Sun +7 · 1 citation
    Computer Science · Materials Science · Mathematics · #Advanced Graph Neural Networks #Artificial intelligence #Computer science #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Feature learning #Graph #Interpretability #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Machine learning #Theoretical computer science #cs.LG #stat.ML
50. Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
    2020/04/30 by Bo Wang, Tao Shen, Guodong Long +3 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Classifier (UML) #ENCODE #Embedding #Feature learning #Graph #Graph embedding #Knowledge graph #Natural Language Processing Techniques #Reuse #Topic Modeling #cs.CL
51. SimAug: Learning Robust Representations from Simulation for Trajectory Prediction
    2020/04/04 by Junwei Liang, Lu Jiang, Liang, Junwei +4 · 2 citations
    Computer Science · Engineering · Mathematics · #Adversarial system #Anomaly Detection Techniques and Applications #Artificial intelligence #Autonomous Vehicle Technology and Safety #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Domain (mathematical analysis) #Drone #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Key (lock) #Machine learning #Mathematics #Representation (politics) #Test data #Training set #Trajectory #Variety (cybernetics) #Video Surveillance and Tracking Methods #cs.CV
52. Momentum Contrast for Unsupervised Visual Representation Learning
    2019/11/13 by Kaiming He, Haoqi Fan, He, Kaiming +7 · 928 citations
    Computer Science · #Advanced Neural Network Applications #Artificial intelligence #Computer science #Contrast (vision) #Domain Adaptation and Few-Shot Learning #Feature learning #Machine learning #Multimodal Machine Learning Applications #Natural language processing #Pascal (unit) #Pattern recognition (psychology) #Perspective (graphical) #Representation (politics) #Segmentation #Unsupervised learning #cs.CV
53. Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation
    2019/08/01 by Jaehoon Choi, Minki Jeong, Choi, Jaehoon +5 · 5 citations
    Computer Science · Mathematics · Medicine · Psychology · #Adaptation (eye) #Artificial intelligence #COVID-19 diagnosis using AI #Cluster analysis #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Constraint (computer-aided design) #Curriculum #Discriminative model #Domain (mathematical analysis) #Domain Adaptation and Few-Shot Learning #Domain adaptation #FOS: Computer and information sciences #Feature learning #Leverage (statistics) #Machine learning #Mathematics #Multimodal Machine Learning Applications #Pattern recognition (psychology) #Psychology #cs.CV
54. Neural Graph Collaborative Filtering
    2019/05/31 by Xiang Wang, Xiangnan He, Meng Wang +2 · 19 citations
    Computer Science · #Advanced Graph Neural Networks #Collaborative filtering #Core (optical fiber) #Data Visualization and Analytics #Embedding #Feature learning #Graph #Matrix decomposition #Ranging #Recommender Systems and Techniques #Recommender system #cs.IR #cs.LG #cs.SI
55. A Comprehensive Survey on Graph Neural Networks
    2019/01/03 by Zonghan Wu, Shirui Pan, Fengwen Chen +3 · 1 voice · 494 citations
    Computer Science · Mathematics · #Advanced Graph Neural Networks #Artificial neural network #Benchmark (surveying) #Convolutional neural network #Deep learning #Feature learning #Graph #Graph Theory and Algorithms #Labeled data #Machine Learning in Healthcare #Training set #cs.LG #stat.ML
56. Batch DropBlock Network for Person Re-identification and Beyond
    2018/11/17 by Zuozhuo Dai, Dai, Zuozhuo, Mingqiang Chen +7 · 4 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Engineering #FOS: Computer and information sciences #Face recognition and analysis #Feature (linguistics) #Feature learning #Identification (biology) #Machine learning #Margin (machine learning) #Metric (unit) #Pattern recognition (psychology) #Representation (politics) #Salient #Video Surveillance and Tracking Methods
57. Localization Guided Learning for Pedestrian Attribute Recognition
    2018/08/28 by Pengze Liu, Xihui Liu, Liu, Pengze +5 · 6 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial intelligence #Complement (music) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Data mining #FOS: Computer and information sciences #Face (sociological concept) #Feature (linguistics) #Feature learning #Geography #Human Pose and Action Recognition #Machine learning #Pattern recognition (psychology) #Pedestrian #Representation (politics) #Video Surveillance and Tracking Methods #cs.CV
58. Discriminative Feature Learning With Foreground Attention for Person Re-Identification
    2018/07/31 by Sanping Zhou, Jinjun Wang, Deyu Meng +3 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial intelligence #Benchmark (surveying) #Class (philosophy) #Computer science #Discriminative model #Encoder #Face recognition and analysis #Feature (linguistics) #Feature extraction #Feature learning #Feature vector #Gait Recognition and Analysis #Machine learning #Pattern recognition (psychology) #Representation (politics) #Subnetwork #Video Surveillance and Tracking Methods #cs.CV
59. Unsupervised Detection of Lesions in Brain MRI using constrained adversarial auto-encoders
    2018/06/13 by Xiaoran Chen, Ender Konukoglu, Chen, Xiaoran +1 · 12 citations
    Computer Science · Mathematics · Neuroscience · Psychology · #Abnormality #Advanced Neural Network Applications #Artificial intelligence #Autoencoder #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Deep learning #FOS: Computer and information sciences #Feature learning #Functional connectivity #Generalization #Generative Adversarial Networks and Image Synthesis #Human Connectome Project #Human brain #Machine learning #Mathematics #Neuroscience #Pattern recognition (psychology) #Psychology #Representation (politics) #cs.CV
60. Dimensionality-Driven Learning with Noisy Labels
    2018/06/07 by Xingjun Ma, Ma, Xingjun, Yisen Wang +15 · 15 citations
    Computer Science · Mathematics · #Artificial intelligence #Artificial neural network #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Curse of dimensionality #Deep learning #Deep neural networks #Digital Imaging for Blood Diseases #FOS: Computer and information sciences #Feature learning #Generalization #Image and Object Detection Techniques #Linear subspace #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine learning #Mathematics #Pattern recognition (psychology) #Perspective (graphical) #Representation (politics) #Subspace topology #cs.CV #cs.LG #stat.ML

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