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Masked Siamese Networks for Label-Efficient Learning


Apr 14, 2022
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael Rabbat, Nicolas Ballas


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Memory Augmented Optimizers for Deep Learning


Jun 20, 2021
Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar

* 24 Pages. Currently under review 

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Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples


Apr 28, 2021
Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael Rabbat


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A Closer Look at Codistillation for Distributed Training


Oct 06, 2020
Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael Rabbat

* Under review 

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Advances in Asynchronous Parallel and Distributed Optimization


Jun 24, 2020
Mahmoud Assran, Arda Aytekin, Hamid Feyzmahdavian, Mikael Johansson, Michael Rabbat

* 33 pages, 4 figures 

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Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations


Jun 18, 2020
Mahmoud Assran, Nicolas Ballas, Lluis Castrejon, Michael Rabbat


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On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings


Feb 27, 2020
Mahmoud Assran, Michael Rabbat


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Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning


Jun 09, 2019
Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat


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Stochastic Gradient Push for Distributed Deep Learning


Nov 27, 2018
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael Rabbat


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