Rabbat, Michael

23 publications

ICLR 2025 Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl

ICLR 2025 Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng

ICML 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D Paul Mcvay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets, Aravind Rajeswaran, Franziska Meier

ICCV 2025 MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Shengbang Tong, David Fan, Jiachen Li, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu

ICCV 2025 Scaling Language-Free Visual Representation Learning David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie

ICLR 2025 Towards General-Purpose Model-Free Reinforcement Learning Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat

ICLRW 2024 Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian

TMLR 2024 DINOv2: Learning Robust Visual Features Without Supervision Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

TMLR 2024 Revisiting Feature Prediction for Learning Visual Representations from Video Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael Rabbat, Yann LeCun, Mido Assran, Nicolas Ballas

ICMLW 2023 Green Federated Learning Ashkan Yousefpour, Shen Guo, Ashish Shenoy, Sayan Ghosh, Pierre Stock, Kiwan Maeng, Schalk-Willem Krüger, Michael Rabbat, Carole-Jean Wu, Ilya Mironov

TMLR 2023 Lo-Fi: Distributed Fine-Tuning Without Communication Mitchell Wortsman, Suchin Gururangan, Shen Li, Ali Farhadi, Ludwig Schmidt, Michael Rabbat, Ari S. Morcos

ICML 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat

CVPR 2023 Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Yann LeCun, Nicolas Ballas

ICLR 2023 The Hidden Uniform Cluster Prior in Self-Supervised Learning Mido Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael Rabbat, Nicolas Ballas

ICLR 2023 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

TMLR 2022 FedShuffle: Recipes for Better Use of Local Work in Federated Learning Samuel Horváth, Maziar Sanjabi, Lin Xiao, Peter Richtárik, Michael Rabbat

ECCV 2022 Masked Siamese Networks for Label-Efficient Learning Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas

NeurIPSW 2022 The Interpolated MVU Mechanism for Communication-Efficient Private Federated Learning Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat

NeurIPSW 2022 Where to Begin? on the Impact of Pre-Training and Initialization in Federated Learning John Nguyen, Jianyu Wang, Kshitiz Malik, Maziar Sanjabi, Michael Rabbat

ICCV 2021 Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael Rabbat

ICLR 2020 SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael Rabbat

NeurIPS 2019 Gossip-Based Actor-Learner Architectures for Deep Reinforcement Learning Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Michael Rabbat

CVPR 2016 Efficient Large-Scale Similarity Search Using Matrix Factorization Ahmet Iscen, Michael Rabbat, Teddy Furon