Michael Rabbat
16 papers · 2008–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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self-supervised learning
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federated learning
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large language model
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deep reinforcement learning
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communication efficiency
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vision transformer
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metric learning
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dimensionality reduction
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stochastic gradient descent
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semi-supervised learning
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contrastive learning
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matrix factorization
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stochastic optimization
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image classification
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image retrieval
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similarity search
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distributed learning
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Papers
Accelerating neural network training: An analysis of the AlgoPerf competition
ICLR 2025
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces
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
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
The hidden uniform cluster prior in self-supervised learning
ICLR 2023
Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
ICLR 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
NeurIPS 2019
Efficient Large-Scale Similarity Search Using Matrix Factorization
CVPR 2016
Learning Bigrams from Unigrams
ACL 2008