LeCun, Yann
- Transformers without Normalization
2025/03/13 by Jiachen Zhu, Xinlei Chen, Zhu, Jiachen +7 · 20 voices · 27 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CL #cs.CV #cs.LG
- Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
2023/01/19 by Mahmoud Assran, Quentin Duval, Assran, Mahmoud +14 · 8 voices · 186 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Advanced Neural Network Applications
- Text Understanding from Scratch
2015/02/05 by Xiang Zhang, Yann LeCun, Zhang, Xiang +1 · 4 voices · 1 citation
#cs.LG #cs.CL
- A Cookbook of Self-Supervised Learning
2023/04/24 by Randall Balestriero, Balestriero, Randall, Mark Ibrahim +36 · 2 voices · 35 citations
Computer Science · #Machine Learning and Data Classification
- Chimère Ω — blueprint for a physico-cognitively inspired local-first LLM runtime
2025/11/11 by Randall Balestriero, Yann LeCun, Balestriero, Randall +1 · 14 voices · 30 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #cs.AI #cs.CV #cs.LG #stat.ML
- GAIA: a benchmark for General AI Assistants
2023/11/21 by Grégoire Mialon, Clémentine Fourrier, Mialon, Grégoire +9 · 6 voices · 263 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Topic Modeling #cs.AI #cs.CL
- From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning
2025/05/21 by Chen Shani, Shani, Chen, Liron Soffer +7 · 24 voices · 10 citations
#cs.CL #cs.AI #cs.IT
- Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
2024/01/11 by Shengbang Tong, Tong, Shengbang, Zhuang Liu +9 · 3 voices · 141 citations
Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling #cs.CV
- Character-level Convolutional Networks for Text Classification
2015/09/04 by Xiang Zhang, Junbo Zhao, Zhang, Xiang +3 · 197 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- The Loss Surfaces of Multilayer Networks
2014/11/30 by Anna Choromanska, Choromanska, Anna, Mikael Henaff +7 · 147 citations
Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Random Matrices and Applications
- Barlow Twins: Self-Supervised Learning via Redundancy Reduction
2021/03/04 by Jure Žbontar, Jing Li, Zbontar, Jure +7 · 156 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Biological sciences #FOS: Computer and information sciences #Image Processing Techniques and Applications #Machine Learning (cs.LG) #Neurons and Cognition (q-bio.NC)
- Deep Convolutional Networks on Graph-Structured Data
2015/06/16 by Mikael Henaff, Joan Bruna, Henaff, Mikael +3 · 113 citations
Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs
2024/06/24 by Shengbang Tong, Tong, Shengbang, Ellis Brown +26 · 2 voices · 173 citations
Computer Science · #Advanced Computational Techniques and Applications #cs.CV
- A Closer Look at Spatiotemporal Convolutions for Action Recognition
2017/11/30 by Du Tran, Tran, Du, Heng Wang +9 · 71 citations
Computer Science · Engineering · #Human Pose and Action Recognition #Anomaly Detection Techniques and Applications #Gait Recognition and Analysis
- Spectral Networks and Locally Connected Networks on Graphs
2013/12/21 by Bruna, Joan, Zaremba, Wojciech, Szlam, Arthur +1 · 56 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- VICReg: Variance-Invariance-Covariance Regularization for\n Self-Supervised Learning
2021/05/11 by Adrien Bardes, Bardes, Adrien, Jean Ponce +3 · 76 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Efficient Object Localization Using Convolutional Networks
2014/11/16 by Jonathan Tompson, Ross Goroshin, Tompson, Jonathan +7 · 1 voice · 15 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
2021/04/26 by Aishwarya Kamath, Kamath, Aishwarya, Mannat Singh +9 · 69 citations
Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Energy-based Generative Adversarial Network
2016/09/11 by Junbo Zhao, Zhao, Junbo, Michaël Mathieu +3 · 100 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Image and Signal Denoising Methods
- AI Benchmark Half-Life in Recursive Corpora: A Theory of Validity Decay under Semantic Leakage and Regeneration
2024/06/27 by Samuel Dooley, White, Colin, Dooley, Samuel +29 · 120 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Digital Rights Management and Security #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Entropy-SGD: Biasing Gradient Descent Into Wide Valleys
2016/11/06 by Pratik Chaudhari, Anna Choromanska, Chaudhari, Pratik +15 · 59 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
- OverFeat: Integrated Recognition, Localization and Detection using\n Convolutional Networks
2013/12/21 by Pierre Sermanet, David Eigen, Sermanet, Pierre +9 · 67 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
2024/11/07 by Gaoyue Zhou, Hengkai Pan, Zhou, Gaoyue +5 · 2 voices · 84 citations
Computer Science · #Artificial Intelligence in Games #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques
- Intuitive physics understanding emerges from self-supervised pretraining on natural videos
2025/02/17 by Quentin Garrido, Nicolas Ballas, Garrido, Quentin +13 · 9 voices · 18 citations
#cs.CV #cs.AI
- Revisiting Feature Prediction for Learning Visual Representations from Video
2024/02/15 by Adrien Bardes, Bardes, Adrien, Quentin Garrido +13 · 76 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Video Analysis and Summarization
- VL-JEPA: Joint Embedding Predictive Architecture for Vision-language
2025/12/11 by Delong Chen, Mustafa Shukor, Chen, Delong +19 · 7 voices · 1 citation
Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Image and Video Retrieval Techniques
- MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
2024/12/18 by Shengbang Tong, Tong, Shengbang, David Fan +17 · 5 voices · 68 citations
#cs.CV
- Eigenvalues of the Hessian in Deep Learning: Singularity and Beyond
2016/11/22 by Levent Sagun, Sagun, Levent, Léon Bottou +3 · 40 citations
Computer Science · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Model Reduction and Neural Networks #Gaussian Processes and Bayesian Inference
- Learning in High Dimension Always Amounts to Extrapolation
2021/10/18 by Randall Balestriero, Balestriero, Randall, Jerome Pesenti +3 · 8 voices · 2 citations
#cs.LG #cs.CV
- Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation
2014/04/02 by Denton, Remi, Zaremba, Wojciech, Bruna, Joan +2 · 23 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
2025/06/11 by Adrien Bardes, Assran, Mido, Bardes, Adrien +54 · 131 citations
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Robotics (cs.RO) #Social Robot Interaction and HRI
- Navigation World Models
2024/12/04 by Amir Bar, Bar, Amir, Gaoyue Zhou +7 · 81 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Geographic Information Systems Studies #Historical Geography and Cartography #Machine Learning (cs.LG) #Robotics (cs.RO)
- G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
2024/02/12 by Xiaoxin He, He, Xiaoxin, Yijun Tian +13 · 48 citations
Computer Science · #Advanced Graph Neural Networks #Advanced Text Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Augmented Language Models: a Survey
2023/02/15 by Grégoire Mialon, Mialon, Grégoire, Roberto Dessì +23 · 36 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Reverse Engineering Self-Supervised Learning
2023/05/24 by Ido Ben-Shaul, Ben-Shaul, Ido, Ravid Shwartz-Ziv +7 · 1 voice · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications
- Scaling Language-Free Visual Representation Learning
2025/04/01 by David Fan, Fan, David, Shengbang Tong +19 · 3 voices · 25 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
- Layer by Layer: Uncovering Hidden Representations in Language Models
2025/02/04 by Skean, Oscar, Arefin, Md Rifat, Zhao, Dan +4 · 80 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning
2024/05/16 by Yuexiang Zhai, Hao Bai, Zhai, Yuexiang +19 · 40 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Tunable Efficient Unitary Neural Networks (EUNN) and their application to RNNs
2016/12/15 by Jing Li, Jing, Li, Yichen Shen +13 · 21 citations
Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing #Music and Audio Processing
- Transformer visualization via dictionary learning: contextualized embedding as a linear superposition of transformer factors
2021/03/29 by Zeyu Yun, Yun, Zeyu, Yubei Chen +5 · 20 citations
Computer Science · Social Sciences · #Topic Modeling #Natural Language Processing Techniques #Computational and Text Analysis Methods
- Decoupled Contrastive Learning
2021/10/13 by Chun-Hsiao Yeh, Cheng-Yao Hong, Yeh, Chun-Hsiao +9 · 18 citations
Computer Science · Earth and Planetary Sciences · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques
- Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
2023/05/31 by He, Xiaoxin, Bresson, Xavier, Laurent, Thomas +3 · 19 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Disentangling factors of variation in deep representations using adversarial training
2016/11/10 by Mathieu, Michael, Zhao, Junbo, Sprechmann, Pablo +2 · 10 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution
2022/10/15 by Anthony M. Zador, G. Sean Escola, Zador, Anthony +51 · 15 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Reinforcement Learning in Robotics #Computability, Logic, AI Algorithms #Cell Image Analysis Techniques
- Gradient-based Planning with World Models
2023/12/28 by Jyothir S, S, Jyothir, Siddhartha Jalagam +5 · 1 voice · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review
2023/04/19 by Ravid Shwartz-Ziv, Yann LeCun, Shwartz-Ziv, Ravid +1 · 14 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Deep multi-scale video prediction beyond mean square error
2015/11/17 by Mathieu, Michael, Couprie, Camille, LeCun, Yann · 7 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- VICRegL: Self-Supervised Learning of Local Visual Features
2022/10/04 by Adrien Bardes, Bardes, Adrien, Juliana Rubio Ponce +3 · 12 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG)
- No More Pesky Learning Rates
2012/06/06 by Schaul, Tom, Zhang, Sixin, LeCun, Yann · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Pedestrian Detection with Unsupervised Multi-Stage Feature Learning
2012/12/01 by Pierre Sermanet, Sermanet, Pierre, Koray Kavukcuoglu +5 · 10 citations
Computer Science · Engineering · #Video Surveillance and Tracking Methods #Advanced Neural Network Applications #Gait Recognition and Analysis
- Fast Training of Convolutional Networks through FFTs
2013/12/20 by Mathieu, Michael, Henaff, Mikael, LeCun, Yann · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Joint Training of a Convolutional Network and a Graphical Model for Human Pose Estimation
2014/06/11 by Tompson, Jonathan, Jain, Arjun, LeCun, Yann +1 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
2022/05/23 by Randall Balestriero, Yann LeCun, Balestriero, Randall +1 · 11 citations
Computer Science · Engineering · Social Sciences · #Advanced Computing and Algorithms #Artificial Intelligence (cs.AI) #Civil and Geotechnical Engineering Research #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Spectral Theory (math.SP) #Text and Document Classification Technologies
- Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks
2018/05/30 by Neyshabur, Behnam, Li, Zhiyuan, Bhojanapalli, Srinadh +2 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
2014/12/24 by Nicolas Vasilache, Jeff Johnson, Vasilache, Nicolas +9 · 7 citations
Computer Science · Earth and Planetary Sciences · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Parallel #Seismic Imaging and Inversion Techniques #and Cluster Computing (cs.DC)
- Deep learning with Elastic Averaging SGD
2014/12/20 by Sixin Zhang, Zhang, Sixin, Anna Choromanska +3 · 7 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Indoor Semantic Segmentation using depth information
2013/01/16 by Couprie, Camille, Farabet, Clément, Najman, Laurent +1 · 5 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning and Leveraging World Models in Visual Representation Learning
2024/03/01 by Quentin Garrido, Garrido, Quentin, Mahmoud Assran +9 · 13 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Generalization of ViT/MLP-Mixer to Graphs
2022/12/27 by Xiaoxin He, He, Xiaoxin, Bryan Hooi +8 · 9 citations
Computer Science · #Advanced Graph Neural Networks #Graph Theory and Algorithms #Cloud Computing and Resource Management
- Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
2019/01/08 by Mikael Henaff, Alfredo Canziani, Henaff, Mikael +3 · 9 citations
Computer Science · #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning
- Learning by Reconstruction Produces Uninformative Features For Perception
2024/02/17 by Randall Balestriero, Yann LeCun, Balestriero, Randall +1 · 13 citations
Computer Science · #Neural Networks and Applications
- Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models
2025/02/20 by Vlad Sobal, Wancong Zhang, Sobal, Vlad +8 · 17 citations
Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Bayesian Modeling and Causal Inference
- The Effects of Regularization and Data Augmentation are Class Dependent
2022/04/07 by Randall Balestriero, Léon Bottou, Balestriero, Randall +3 · 6 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Super-Resolution with Deep Convolutional Sufficient Statistics
2015/11/18 by Joan Bruna, Bruna, Joan, Pablo Sprechmann +3 · 4 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications #Image and Signal Denoising Methods
- Convolutional Neural Networks Applied to House Numbers Digit\n Classification
2012/04/17 by Pierre Sermanet, Sermanet, Pierre, Soumith Chintala +3 · 3 citations
Computer Science · #Advanced Vision and Imaging #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Currency Recognition and Detection #FOS: Computer and information sciences #Human Pose and Action Recognition #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
- Learning to Linearize Under Uncertainty
2015/06/09 by Goroshin, Ross, Mathieu, Michael, LeCun, Yann · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Implicit Rank-Minimizing Autoencoder
2020/10/01 by Jing Li, Jing, Li, Jure Žbontar +3 · 4 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Video Surveillance and Tracking Methods
- Recurrent Orthogonal Networks and Long-Memory Tasks
2016/02/22 by Henaff, Mikael, Szlam, Arthur, LeCun, Yann · 3 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Adversarially Regularized Autoencoders
2017/06/13 by Yoon Kim, Zhao, Jake, Kim, Yoon +6 · 6 citations
Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Music and Audio Processing #Neural and Evolutionary Computing (cs.NE)
- MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features
2023/07/24 by Bardes, Adrien, Ponce, Jean, LeCun, Yann · 6 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Back to the Features: DINO as a Foundation for Video World Models
2025/07/25 by Baldassarre, Federico, Szafraniec, Marc, Terver, Basile +6 · 25 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Forgotten Polygons: Multimodal Large Language Models are Shape-Blind
2025/02/21 by William J. Rudman, William Rudman, Michal Golovanevsky +12 · 1 voice · 4 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.CV
- Hierarchical World Models as Visual Whole-Body Humanoid Controllers
2024/05/28 by Nicklas Hansen, S V Jyothir, Hansen, Nicklas +9 · 7 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Robotics (cs.RO) #Video Surveillance and Tracking Methods
- Predicting Future Instance Segmentation by Forecasting Convolutional Features
2018/03/30 by Luc, Pauline, Couprie, Camille, LeCun, Yann +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation
2014/09/28 by Arjun Jain, Jonathan Tompson, Jain, Arjun +5 · 5 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Video Analysis and Summarization #Video Surveillance and Tracking Methods
- The Entropy Enigma: Success and Failure of Entropy Minimization
2024/05/08 by Ori Press, Ravid Shwartz-Ziv, Press, Ori +5 · 6 citations
Computer Science · Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications #Statistical Mechanics and Entropy
- Unsupervised Learning of Spatiotemporally Coherent Metrics
2014/12/18 by Goroshin, Ross, Bruna, Joan, Tompson, Jonathan +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning Stable Group Invariant Representations with Convolutional Networks
2013/01/16 by Joan Bruna, Bruna, Joan, Arthur Szlam +3 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Music and Audio Processing #Neural Networks and Applications #Numerical Analysis (math.NA) #Speech and Audio Processing
- Convolutional Matching Pursuit and Dictionary Training
2010/10/03 by Arthur Szlam, Szlam, Arthur, Koray Kavukcuoglu +3 · 2 citations
Computer Science · Engineering · Mathematics · #Blind Source Separation Techniques #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
- Does Representation Matter? Exploring Intermediate Layers in Large Language Models
2024/12/12 by Oscar Skean, Skean, Oscar, Md Rifat Arefin +5 · 8 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Video Representation Learning with Joint-Embedding Predictive Architectures
2024/12/14 by Katrina Drozdov, Ravid Shwartz-Ziv, Drozdov, Katrina +3 · 1 voice · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Video Analysis and Summarization #Video Surveillance and Tracking Methods #cs.AI #cs.CV
- Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
2022/06/15 by Dou, Zi-Yi, Kamath, Aishwarya, Gan, Zhe +9 · 3 citations
#Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors
2022/05/20 by Ravid Shwartz-Ziv, Shwartz-Ziv, Ravid, Micah Goldblum +11 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Adversarial Robustness in Machine Learning
- Neural Manifold Clustering and Embedding
2022/01/24 by Zengyi Li, Li, Zengyi, Yubei Chen +5 · 3 citations
Computer Science · Engineering · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Medical Imaging and Analysis #Morphological variations and asymmetry
- Fast Approximation of Rotations and Hessians matrices
2014/04/29 by Michaël Mathieu, Yann LeCun, Mathieu, Michael +1 · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Neural Networks and Applications #Scientific Research and Discoveries
- Light-weight probing of unsupervised representations for Reinforcement Learning
2022/08/25 by Wancong Zhang, Zhang, Wancong, Anthony GX-Chen +7 · 3 citations
Computer Science · Neuroscience · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural dynamics and brain function #Reinforcement Learning in Robotics
- Predicting Deeper into the Future of Semantic Segmentation
2017/03/22 by Luc, Pauline, Neverova, Natalia, Couprie, Camille +2 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training
2024/11/26 by Raktim Gautam Goswami, P. Krishnamurthy, Goswami, Raktim Gautam +5 · 6 citations
Engineering · #Robot Manipulation and Learning #Soft Robotics and Applications
- Blockwise Self-Supervised Learning at Scale
2023/02/03 by Shoaib Ahmed Siddiqui, David Krueger, Siddiqui, Shoaib Ahmed +5 · 3 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and ELM #Neural Networks and Reservoir Computing
- VoLTA: Vision-Language Transformer with Weakly-Supervised Local-Feature Alignment
2022/10/09 by Pramanick, Shraman, Jing, Li, Nag, Sayan +4 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
- Towards a Framework for Openness in Foundation Models: Proceedings from the Columbia Convening on Openness in Artificial Intelligence
2024/05/17 by Basdevant, Adrien, François, Camille, Storchan, Victor +13 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
- Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
2010/06/02 by Karol Gregor, Gregor, Karo, Yann LeCun +1 · 2 citations
Computer Science · Neuroscience · #Advanced Vision and Imaging #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Visual perception and processing mechanisms
- Adaptive learning rates and parallelization for stochastic, sparse, non-smooth gradients
2013/01/16 by Tom Schaul, Schaul, Tom, Yann LeCun +1 · 3 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Sparse and Compressive Sensing Techniques
- Whole-Body Conditioned Egocentric Video Prediction
2025/06/26 by Yutong Bai, Bai, Yutong, Danny Tran +9 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimedia (cs.MM) #Robotics (cs.RO)
- What Do We Maximize in Self-Supervised Learning?
2022/07/20 by Ravid Shwartz-Ziv, Shwartz-Ziv, Ravid, Randall Balestriero +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- \mathbbX-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs
2024/07/25 by Vlad Sobal, Sobal, Vlad, Mark Ibrahim +13 · 1 voice · 3 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #cs.CV #cs.LG
- Joint Embedding Predictive Architectures Focus on Slow Features
2022/11/20 by Vlad Sobal, S V Jyothir, Sobal, Vlad +9 · 2 citations
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning and Data Classification
- EgoPet: Egomotion and Interaction Data from an Animal's Perspective
2024/04/15 by Bar, Amir, Bakhtiar, Arya, Tran, Danny +5 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
- Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning
2024/05/02 by Moutakanni, Théo, Bojanowski, Piotr, Chassagnon, Guillaume +7 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- An Information-Theoretic Perspective on Variance-Invariance-Covariance Regularization
2023/03/01 by Ravid Shwartz-Ziv, Randall Balestriero, Shwartz-Ziv, Ravid +7 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning and ELM #Neural Networks and Applications
- PooDLe: Pooled and dense self-supervised learning from naturalistic videos
2024/08/20 by Wang, Alex N., Hoang, Christopher, Xiong, Yuwen +2 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
2025/05/26 by Raktim Gautam Goswami, Goswami, Raktim Gautam, P. Krishnamurthy +5 · 6 citations
Engineering · Computer Science · #Human Motion and Animation #Human Pose and Action Recognition #Multimodal Machine Learning Applications
- Stacked What-Where Auto-encoders
2015/06/08 by Zhao, Junbo, Mathieu, Michael, Goroshin, Ross +1 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
- Efficient Learning of Sparse Invariant Representations
2011/05/26 by Karol Gregor, Yann LeCun, Gregor, Karol +1 · 1 citation
Computer Science · #Face and Expression Recognition #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques
- Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
2023/07/11 by Grégoire Mialon, Mialon, Grégoire, Quentin Garrido +9 · 2 citations
Engineering · #Advanced Data Processing Techniques
- DeSIGN: Design Inspiration from Generative Networks
2018/04/03 by Sbai, Othman, Elhoseiny, Mohamed, Bordes, Antoine +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Spectral Regularizer for Unsupervised Disentanglement
2018/12/04 by Aditya Ramesh, Ramesh, Aditya, Youngduck Choi +3 · 2 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Sparse Coding with Multi-Layer Decoders using Variance Regularization
2021/12/16 by Evtimova, Katrina, LeCun, Yann · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Variance-Covariance Regularization Improves Representation Learning
2023/06/23 by Jiachen Zhu, Katrina Evtimova, Zhu, Jiachen +7 · 1 voice · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #cs.AI #cs.CV #cs.LG
- projUNN: efficient method for training deep networks with unitary matrices
2022/03/10 by Bobak T. Kiani, Randall Balestriero, Kiani, Bobak +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Quantum Physics (quant-ph)
- LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
2025/09/11 by Hai Huang, Huang, Hai, Yann LeCun +3 · 5 citations
Computer Science · #Multimodal Machine Learning Applications #Explainable Artificial Intelligence (XAI) #Domain Adaptation and Few-Shot Learning
- Masked Siamese ConvNets
2022/06/15 by Jing Li, Jing, Li, Jiachen Zhu +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning
2022/06/21 by Jiachen Zhu, Zhu, Jiachen, Rafael M. Moraes +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- POLICE: Provably Optimal Linear Constraint Enforcement for Deep Neural Networks
2022/11/02 by Randall Balestriero, Balestriero, Randall, Yann LeCun +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning
- Cambrian-S: Towards Spatial Supersensing in Video
2025/11/06 by Shusheng Yang, Yang, Shusheng, Jihan Yang +23 · 14 citations
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
- GLoMo: Unsupervisedly Learned Relational Graphs as Transferable Representations
2018/06/14 by Zhilin Yang, Yang, Zhilin, Bhuwan Dhingra +10 · 2 citations
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topic Modeling
- Learning about an exponential amount of conditional distributions
2019/02/22 by Mohamed Ishmael Belghazi, Belghazi, Mohamed Ishmael, Maxime Oquab +5 · 1 citation
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis
- Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
2024/11/04 by Md Rifat Arefin, Gopeshh Subbaraj, Arefin, Md Rifat +11 · 2 citations
Computer Science · #AI-based Problem Solving and Planning #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Scene Parsing with Multiscale Feature Learning, Purity Trees, and\n Optimal Covers
2012/01/01 by Clément Farabet, Farabet, Clément, Camille Couprie +5 · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning
2022/06/17 by Yubei Chen, Chen, Yubei, Adrien Bardes +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mycobacterium research and diagnosis
- Very Deep Multilingual Convolutional Neural Networks for LVCSR
2015/09/29 by Tom Sercu, Christian Puhrsch, Sercu, Tom +5 · 2 citations
Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing #Music and Audio Processing
- Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
2024/12/10 by Zeevi, Tal, Shwartz-Ziv, Ravid, LeCun, Yann +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Closing the Train-Test Gap in World Models for Gradient-Based Planning
2025/12/10 by Parthasarathy, Arjun, Kalra, Nimit, Agrawal, Rohun +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)