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Michael Rabbat

  1. Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture
    2023/01/19 by Mahmoud Assran, Quentin Duval, Assran, Mahmoud +14 · 8 voices · 181 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Human Pose and Action Recognition #Advanced Neural Network Applications
  2. DINOv2: Learning Robust Visual Features without Supervision
    2023/04/14 by Maxime Oquab, Oquab, Maxime, Timothée Darcet +50 · 5 voices · 1663 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Advanced Neural Network Applications
  3. Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
    2024/02/21 by Lucas Lehnert, Sainbayar Sukhbaatar, Lehnert, Lucas +11 · 5 voices · 12 citations
    Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Artificial Intelligence in Games #cs.AI
  4. Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
    2024/10/13 by D. Su, DiJia Su, Su, DiJia +8 · 3 voices · 13 citations
    Computer Science · #Neural Networks and Applications #cs.AI #cs.LG #cs.LO
  5. fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
    2018/11/21 by Jure Žbontar, Zbontar, Jure, Florian Knöll +47 · 62 citations
    Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
  6. 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
  7. Revisiting Feature Prediction for Learning Visual Representations from Video
    2024/02/15 by Adrien Bardes, Bardes, Adrien, Quentin Garrido +13 · 70 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications #Video Analysis and Summarization
  8. MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
    2024/12/18 by Shengbang Tong, David Fan, Tong, Shengbang +17 · 5 voices · 59 citations
    #cs.CV
  9. V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
    2025/06/11 by Assran, Mido, Adrien Bardes, David P. Fan +54 · 125 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
  10. Scaling Language-Free Visual Representation Learning
    2025/04/01 by David Fan, Fan, David, Shengbang Tong +19 · 3 voices · 23 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  11. Federated Learning with Buffered Asynchronous Aggregation
    2021/06/11 by John Nguyen, Kshitiz Malik, Nguyen, John +11 · 18 citations
    Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  12. Masked Siamese Networks for Label-Efficient Learning
    2022/04/14 by Mahmoud Assran, Mathilde Caron, Assran, Mahmoud +15 · 18 citations
    Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #Image Processing Techniques and Applications #Multimodal Machine Learning Applications
  13. Learning Graphs From Data: A Signal Representation Perspective
    2019/04/27 by Xiaowen Dong, Dorina Thanou, Michael Rabbat +1 · 19 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Bayesian Modeling and Causal Inference
  14. Network Topology and Communication-Computation Tradeoffs in\n Decentralized Optimization
    2017/09/25 by Angelia Nedić, Alex Olshevsky, Nedić, Angelia +3 · 12 citations
    Computer Science · #Cooperative Communication and Network Coding #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Parallel #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  15. A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
    2023/09/12 by Hao-Jun Michael Shi, Shi, Hao-Jun Michael, Tsung-Hsien Lee +13 · 15 citations
    Computer Science · #Advanced Neural Network Applications #Stochastic Gradient Optimization Techniques #Neural Networks and Applications
  16. SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum
    2019/10/01 by Jianyu Wang, Vinayak Tantia, Wang, Jianyu +5 · 12 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Privacy-Preserving Technologies in Data
  17. Advances in Asynchronous Parallel and Distributed Optimization
    2020/10/08 by Mahmoud Assran, By Mahmoud Assran, Arda Aytekin +4 · 8 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Quantum Computing Algorithms and Architecture #Sparse and Compressive Sensing Techniques
  18. Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
    2022/10/14 by John Nguyen, Nguyen, John, Jianyu Wang +7 · 8 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Traffic Prediction and Management Techniques
  19. Positive Unlabeled Contrastive Learning
    2022/06/01 by Anish Acharya, Acharya, Anish, Sujay Sanghavi +11 · 4 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Machine Learning and Data Classification
  20. The Hidden Uniform Cluster Prior in Self-Supervised Learning
    2022/10/13 by Mahmoud Assran, Randall Balestriero, Assran, Mahmoud +15 · 4 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #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)
  21. Locate 3D: Real-World Object Localization via Self-Supervised Learning in 3D
    2025/04/19 by Sergio Arnaud, Paul McVay, Arnaud, Sergio +41 · 1 voice · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.2.10 #I.2.6 #I.2.9 #I.3.7 #I.4.6 #I.4.8 #Robotics (cs.RO) #cs.AI #cs.CV #cs.RO
  22. IntPhys 2: Benchmarking Intuitive Physics Understanding In Complex Synthetic Environments
    2025/06/11 by Florian Bordes, Bordes, Florian, Quentin Garrido +9 · 11 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Explainable Artificial Intelligence (XAI) #Multimodal Machine Learning Applications