- StreamSplit: Continuous Audio Representation Learning via Uncertainty-Guided Adaptive Splitting
2026/05/26 by Minh K. Quan, Pubudu N. Pathirana · 1 voice
Computer Science · #Advanced Neural Network Applications #Ambiguity #Bounding overwatch #Cloud computing #Distributed learning #Edge device #Embedding #Feature learning #Generative Adversarial Networks and Image Synthesis #Latency (audio) #Parallel Computing and Optimization Techniques #Reinforcement learning #cs.AI #cs.DC #cs.LG
- Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation
2026/05/25 by Chunzheng Zhu, Yijun Wang, Jianxin Lin +5 · 1 voice
Computer Science · #AI in cancer detection #Context (archaeology) #Domain (mathematical analysis) #Domain Adaptation and Few-Shot Learning #Domain adaptation #Feature (linguistics) #Feature learning #Frame (networking) #Generative Adversarial Networks and Image Synthesis #Invariant (physics) #Representation (politics) #cs.AI #cs.CV
- Exemplar Retrieval Without Overhypothesis Induction: Limits of Distributional Sequence Learning in Early Word Learning
2026/04/06 by Jon-Paul Cacioli · 1 voice
Computer Science · Neuroscience · Psychology · #Autoregressive model #Child and Animal Learning Development #Equivalence (formal languages) #Feature (linguistics) #Feature learning #Language Development and Disorders #Neurobiology of Language and Bilingualism #Sequence (biology) #Sequence labeling #Transformer #Word (group theory) #cs.AI #cs.CL
- Diffusion-Guided Semantic Consistency for Multimodal Heterogeneity
2026/03/19 by Jing Liu, Zhengliang Guo, Yan Wang +4 · 1 voice · 1 citation
Computer Science · #Advanced Neural Network Applications #Component (thermodynamics) #Computation #Consistency (knowledge bases) #Domain Adaptation and Few-Shot Learning #Feature learning #Federated learning #Independent and identically distributed random variables #Perception #Privacy-Preserving Technologies in Data #Semantic heterogeneity #Semantics (computer science) #cs.AI #cs.CV
- LLMs can construct powerful representations and streamline sample-efficient supervised learning
2026/03/12 by Ilker Demirel, İlker Demirel, Lawrence Shi +3 · 1 voice
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Construct (python library) #Downstream (manufacturing) #Feature learning #Labeled data #Machine Learning in Healthcare #Pipeline (software) #Representation (politics) #Rubric #Supervised learning #Topic Modeling #cs.AI
- Value Representations Shape Learning Under Changing Goals
2026/02/06 by Ali Shiravand, Yumeya Yamamori, William Bhot +2 · 1 voice
Computer Science · Neuroscience · Social Sciences · #Champion #Embodied and Extended Cognition #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #Feature (linguistics) #Feature learning #Flexibility (engineering) #Raising (metalworking) #Representation (politics) #Selection (genetic algorithm) #Value (mathematics)
- Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
2024/01/17 by Lianghui Zhu, Zhu, Lianghui, Bencheng Liao +9 · 2 voices · 281 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Advanced Neural Network Applications #Algorithm #Artificial intelligence #Code (set theory) #Computation #Computer science #Computer vision #Deep learning #Domain Adaptation and Few-Shot Learning #Feature learning #Inference #Pattern recognition (psychology) #Programming language #Representation (politics) #Transformer
- DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision
2023/12/26 by Ling Lu, Ling, Lu, Yichen Sheng +37 · 169 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Advanced Vision and Imaging #Artificial intelligence #Benchmark (surveying) #Cartography #Computer Graphics and Visualization Techniques #Computer science #Computer vision #Deep learning #Feature learning #Geography #Machine learning #Ranging #Representation (politics) #Scale (ratio) #Transparency (behavior)
- Multi-View Causal Representation Learning with Partial Observability
2023/11/07 by Dingling Yao, Danru Xu, Yao, Dingling +13 · 21 citations
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Algorithm #Applied mathematics #Artificial Intelligence (cs.AI) #Artificial intelligence #Bijection #Computer science #Discrete mathematics #Domain Adaptation and Few-Shot Learning #Encoder #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Feature learning #Identifiability #Latent variable #Machine Learning (cs.LG) #Machine learning #Mathematics #Nonlinear system #Observability #Representation (politics) #Set (abstract data type) #Simple (philosophy) #Theoretical computer science #Tuple
- Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
2023/07/31 by Jeya Maria Jose Valanarasu, Yucheng Tang, Valanarasu, Jeya Maria Jose +19 · 5 citations
Computer Science · Engineering · Medicine · #AI in cancer detection #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Context (archaeology) #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Image (mathematics) #Machine learning #Masking (illustration) #Medical Imaging and Analysis #Medical imaging #Modalities #Modality (human–computer interaction) #Noise (video) #Pattern recognition (psychology) #Radiomics and Machine Learning in Medical Imaging #Representation (politics) #Segmentation #Upsampling
- Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder
2023/06/15 by Jiaxin Zhuang, Zhuang, Jia-Xin, Luyang Luo +3 · 8 citations
Computer Science · Medicine · #AI in cancer detection #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Artificial intelligence #Artificial neural network #Autoencoder #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Consistency (knowledge bases) #Context (archaeology) #Deep learning #FOS: Computer and information sciences #Feature learning #Geography #Image (mathematics) #Machine learning #Pattern recognition (psychology) #Process (computing) #Radiomics and Machine Learning in Medical Imaging #Representation (politics) #Segmentation
- PLIP: Language-Image Pre-training for Person Representation Learning
2023/05/15 by Jialong Zuo, Zuo, Jialong, Hong, Jiahao +9 · 15 citations
Computer Science · Engineering · #Artificial intelligence #Closed captioning #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Discriminative model #FOS: Computer and information sciences #Feature learning #Gait Recognition and Analysis #Generalization #Human Pose and Action Recognition #Image (mathematics) #Machine learning #Matching (statistics) #Natural language processing #Representation (politics) #Set (abstract data type) #Video Surveillance and Tracking Methods
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
2023/01/19 by Mahmoud Assran, Quentin Duval, Assran, Mahmoud +14 · 8 voices · 282 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Architecture #Artificial intelligence #Artificial neural network #Block (permutation group theory) #Computer science #Context (archaeology) #Domain Adaptation and Few-Shot Learning #Embedding #Feature learning #Human Pose and Action Recognition #Joint (building) #Machine learning #Mathematics #Pattern recognition (psychology) #Scalability #Supervised learning #Transformer
- Hyperbolic Contrastive Learning for Visual Representations beyond Objects
2022/12/01 by Songwei Ge, Shlok Kumar Mishra, Ge, Songwei +7 · 16 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial intelligence #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Focus (optics) #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural language processing #Object (grammar) #Pattern recognition (psychology) #Representation (politics) #Segmentation #Space (punctuation)
- Offline Q-Learning on Diverse Multi-Task Data Both Scales And Generalizes
2022/11/28 by Aviral Kumar, Rishabh Agarwal, Kumar, Aviral +7 · 21 citations
Computer Science · Mathematics · #Artificial intelligence #Computer science #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Generalization #Labeled data #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine learning #Mathematics #Normalization (sociology) #Reinforcement Learning in Robotics #Reinforcement learning #Task (project management) #Testbed #Transfer of learning
- Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis
2022/10/09 by Yan Xu, Yan, Xu, Heshen Zhan +11 · 5 citations
Computer Science · Earth and Planetary Sciences · Engineering · Mathematics · #3D Shape Modeling and Analysis #3D Surveying and Cultural Heritage #Artificial intelligence #Bottleneck #Classifier (UML) #Cloud computing #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Computer vision #Discriminative model #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Machine learning #Mathematics #Modal #Modalities #Modality (human–computer interaction) #Optical measurement and interference techniques #Point (geometry) #Point cloud #Representation (politics)
- Learning to Decompose Visual Features with Latent Textual Prompts
2022/10/09 by Feng Wang, Wang, Feng, Manling Li +9 · 5 citations
Computer Science · #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Domain Adaptation and Few-Shot Learning #Encoder #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Inference #Language model #Machine learning #Margin (machine learning) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Natural language processing #Robustness (evolution) #Scalability #Visual language
- Augmenting Reinforcement Learning with Transformer-based Scene Representation Learning for Decision-making of Autonomous Driving
2022/08/24 by Haochen Liu, Liu, Haochen, Zhiyu Huang +5 · 4 citations
Engineering · #Adaptability #Artificial Intelligence (cs.AI) #Artificial intelligence #Autonomous Vehicle Technology and Safety #Computer science #Encoder #Engineering #FOS: Computer and information sciences #Feature learning #Machine Learning (cs.LG) #Machine learning #Reinforcement learning #Robotics (cs.RO) #Traffic Prediction and Management Techniques #Traffic control and management #Transformer #Voltage
- TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition
2022/05/04 by Haodong Duan, Duan, Haodong, Nanxuan Zhao +5 · 2 citations
Computer Science · #Action recognition #Artificial intelligence #Class (philosophy) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Dependency (UML) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Feature learning #Generality #Human Pose and Action Recognition #Machine learning #Multimodal Machine Learning Applications #Pattern recognition (psychology) #Ranking (information retrieval) #Representation (politics) #Set (abstract data type) #Transformation (genetics) #cs.CV
- Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning
2022/03/28 by Minghao Chen, Fangyun Wei, Chen, Minghao +5 · 7 citations
Computer Science · #Action (physics) #Advanced Vision and Imaging #Artificial intelligence #Code (set theory) #Computer Vision and Pattern Recognition (cs.CV) #Computer science #Context (archaeology) #Embedding #Encoder #FOS: Computer and information sciences #Feature learning #Focus (optics) #Frame (networking) #Human Pose and Action Recognition #Image (mathematics) #Machine learning #Margin (machine learning) #Natural language processing #Pattern recognition (psychology) #Representation (politics) #Sequence (biology) #Similarity (geometry) #Timestamp #Video Surveillance and Tracking Methods #cs.CV
- CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding
2022/03/01 by Mohamed Afham, Afham, Mohamed, Isuru Dissanayake +9 · 30 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Mathematics · #3D Surveying and Cultural Heritage #Artificial intelligence #Computer Vision and Pattern Recognition (cs.CV) #Computer science #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Machine learning #Mathematics #Optical measurement and interference techniques #Pattern recognition (psychology) #Point (geometry) #Point cloud #Remote Sensing and LiDAR Applications #Segmentation #cs.CV
- A Brief Overview of Unsupervised Neural Speech Representation Learning
2022/03/01 by Lasse Borgholt, Borgholt, Lasse, Jakob Drachmann Havtorn +8 · 1 citation
Computer Science · Engineering · #Artificial intelligence #Artificial neural network #Audio and Speech Processing (eess.AS) #Computer science #FOS: Computer and information sciences #FOS: Electrical engineering #Feature learning #Latent variable #Machine Learning (cs.LG) #Machine learning #Music and Audio Processing #Natural Language Processing Techniques #Natural language processing #Probabilistic logic #Representation (politics) #Sound (cs.SD) #Speech Recognition and Synthesis #Unsupervised learning #cs.LG #cs.SD #eess.AS #electronic engineering #information engineering
- Intent Contrastive Learning for Sequential Recommendation
2022/02/05 by Yongjun Chen, Zhiwei Liu, Jia Li +2 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #Artificial intelligence #Cluster analysis #Computer science #Feature learning #Latent variable #Latent variable model #Leverage (statistics) #Machine learning #Recommender Systems and Techniques #Robustness (evolution) #cs.AI
- Reading-strategy Inspired Visual Representation Learning for Text-to-Video Retrieval
2022/01/31 by Jianfeng Dong, Yabing Wang, Xianke Chen +4 · 1 citation
Computer Science · #Artificial intelligence #Computer science #Deep learning #Feature learning #Human Pose and Action Recognition #Image (mathematics) #Information retrieval #Multimodal Machine Learning Applications #Natural language processing #Reading (process) #Representation (politics) #Sentence #Similarity (geometry) #Task (project management) #Task analysis #Video Analysis and Summarization #cs.AI #cs.CV #cs.MM
- Dynamic Representation Learning with Temporal Point Processes for Higher-Order Interaction Forecasting
2021/12/19 by Tony Gracious, Gracious, Tony, Ambedkar Dukkipati +1 · 3 citations
Mathematics · Physics and Astronomy · #Artificial intelligence #Benchmark (surveying) #Complex Network Analysis Techniques #Computer science #Data mining #FOS: Computer and information sciences #Feature learning #Friendship #Graph #Machine Learning (cs.LG) #Machine learning #Mathematics #Order (exchange) #Pairwise comparison #Point (geometry) #Process (computing) #Representation (politics) #Set (abstract data type) #Social and Information Networks (cs.SI) #Theoretical computer science
- Fed2: Feature-Aligned Federated Learning
2021/11/28 by Fuxun Yu, Yu, Fuxun, Weishan Zhang +13 · 4 citations
Computer Science · Engineering · Mathematics · #AI in cancer detection #Adaptation (eye) #Artificial Intelligence (cs.AI) #Artificial intelligence #Computer science #Convergence (economics) #Data mining #Distributed computing #FOS: Computer and information sciences #Feature (linguistics) #Feature learning #Federated learning #Machine Learning (cs.LG) #Machine learning #Mathematics #Medical Imaging and Analysis #Privacy-Preserving Technologies in Data #Process (computing) #Scheme (mathematics) #cs.AI #cs.LG
- 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
- Click-through Rate Prediction with Auto-Quantized Contrastive Learning
2021/09/27 by Yujie Pan, Jiangchao Yao, Pan, Yujie +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
- 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
- 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
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