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← Authors

Michael Rabbat

16 papers · 2008–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🐝 Cross-Pollinator (12) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (17) 🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (6)
🏃 Academic Marathon (17) 🌉 Interdisciplinary Bridge 👥 Mega-Team (22) 🔥 Unstoppable (5) ⚡ Prolific Year (6) 💎 Century Club (16) ❓ The Questioner

Conferences

ICLR (6) ICCV (3) CVPR (2) ICML (2) ACL (1) ECCV (1) NIPS (1)

Top co-authors

Nicolas Ballas (8) Ishan Misra (4) Piotr Bojanowski (4) Mahmoud Assran (4) Pascal Vincent (3) Yann LeCun (3) Shengbang Tong (2) Yuandong Tian (2) Quentin Duval (2) Mido Assran (2)

Research topics

Differential Privacy (1)

Keywords

multimodal learning (2) self-supervised learning (2) representation learning (2) federated learning (1) dimensionality reduction (1) similarity search (1) deep reinforcement learning (1) contrastive learning (1) metric learning (1) semi-supervised learning (1) vision transformer (1) matrix factorization (1) image classification (1) image retrieval (1) differential privacy (1) model compression (1) distributed learning (1) semantic representation (1) numerical optimization (1) dictionary learning (1)

Papers

Accelerating neural network training: An analysis of the AlgoPerf competition ICLR 2025 LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D ICML 2025 MetaMorph: Multimodal Understanding and Generation via Instruction Tuning ICCV 2025 Scaling Language-Free Visual Representation Learning ICCV 2025 Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025 Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces ICLR 2025 Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning ICLR 2023 The hidden uniform cluster prior in self-supervised learning ICLR 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture CVPR 2023 Masked Siamese Networks for Label-Efficient Learning ECCV 2022 Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples ICCV 2021 SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum ICLR 2020 Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning NIPS 2019 Efficient Large-Scale Similarity Search Using Matrix Factorization CVPR 2016 Learning Bigrams from Unigrams ACL 2008