Mahmoud Assran

Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations pdf

Mahmoud Assran, Nicolas Ballas, Lluis Castrejon, 2020, ArXiv.

Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations.

Michael Rabbat, Mahmoud Assran, Nicolas Ballas, 2020 .

A Closer Look at Codistillation for Distributed Training pdf

Koustuv Sinha, Mahmoud Assran, Nicolas Ballas, 2020, ArXiv.

An empirical comparison of multi-agent optimization algorithms

Michael G. Rabbat, Mahmoud Assran, M. Rabbat, 2017, 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Joelle Pineau, Joshua Romoff, Mahmoud Assran, 2019, NeurIPS.

Stochastic Gradient Push for Distributed Deep Learning

Michael G. Rabbat, Mahmoud Assran, Nicolas Ballas, 2018, ICML.

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

Mahmoud Assran, Michael Rabbat, 2020, ICML.

Asynchronous Gradient Push

Michael G. Rabbat, Mahmoud Assran, M. Rabbat, 2018, IEEE Transactions on Automatic Control.

Memory Augmented Optimizers for Deep Learning pdf

Mahmoud Assran, Sarath Chandar, Paul-Aymeric McRae, 2021, ICLR.

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

Armand Joulin, Mahmoud Assran, Nicolas Ballas, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).