Mahmoud Assran

29 papers A* 5Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. CoRR Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mahmoud Assran
2025	J	`jnl`	Intuitive physics understanding emerges from self-supervised pretraining on natural videos. CoRR Quentin Garrido, Nicolas Ballas, Mahmoud Assran, Adrien Bardes, Laurent Najman, Michael Rabbat, Emmanuel Dupoux, Yann LeCun
2024	J	`jnl`	An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels. CoRR Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain, Martin R. Oswald, Cees G. M. Snoek, Xinlei Chen
2024	J	`jnl`	Learning and Leveraging World Models in Visual Representation Learning. CoRR Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
2024	J	`jnl`	Modeling Caption Diversity in Contrastive Vision-Language Pretraining. CoRR Samuel Lavoie, Polina Kirichenko, Mark Ibrahim, Mahmoud Assran, Andrew Gordon Wilson, Aaron C. Courville, Nicolas Ballas
2024	J	`jnl`	Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
2023	J	`jnl`	DINOv2: Learning Robust Visual Features without Supervision. CoRR Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski
2023	J	`jnl`	Predicting masked tokens in stochastic locations improves masked image modeling. CoRR Amir Bar, Florian Bordes, Assaf Shocher, Mahmoud Assran, Pascal Vincent, Nicolas Ballas, Trevor Darrell, Amir Globerson, Yann LeCun
2023	A*	`conf`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CVPR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2023	J	`jnl`	Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture. CoRR Mahmoud Assran, Quentin Duval, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Yann LeCun, Nicolas Ballas
2022	—	`conf`	Masked Siamese Networks for Label-Efficient Learning. ECCV (31) Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Mike Rabbat, Nicolas Ballas
2022	J	`jnl`	Masked Siamese Networks for Label-Efficient Learning. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Florian Bordes, Pascal Vincent, Armand Joulin, Michael G. Rabbat, Nicolas Ballas
2022	J	`jnl`	The Hidden Uniform Cluster Prior in Self-Supervised Learning. CoRR Mahmoud Assran, Randall Balestriero, Quentin Duval, Florian Bordes, Ishan Misra, Piotr Bojanowski, Pascal Vincent, Michael G. Rabbat, Nicolas Ballas
2021	J	`jnl`	Asynchronous Gradient Push. IEEE Trans. Autom. Control. Mahmoud Assran, Michael G. Rabbat
2021	J	`jnl`	Memory Augmented Optimizers for Deep Learning. CoRR Paul-Aymeric McRae, Prasanna Parthasarathi, Mahmoud Assran, Sarath Chandar
2021	A*	`conf`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. ICCV Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2021	J	`jnl`	Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. CoRR Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat
2020	J	`jnl`	A Closer Look at Codistillation for Distributed Training. CoRR Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
2020	J	`jnl`	Advances in Asynchronous Parallel and Distributed Optimization. CoRR Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat
2020	J	`jnl`	Advances in Asynchronous Parallel and Distributed Optimization. Proc. IEEE Mahmoud Assran, Arda Aytekin, Hamid Reza Feyzmahdavian, Mikael Johansson, Michael G. Rabbat
2020	A*	`conf`	On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings. ICML Mahmoud Assran, Mike Rabbat
2020	J	`jnl`	On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings. CoRR Mahmoud Assran, Michael G. Rabbat
2020	J	`jnl`	Recovering Petaflops in Contrastive Semi-Supervised Learning of Visual Representations. CoRR Mahmoud Assran, Nicolas Ballas, Lluís Castrejón, Michael G. Rabbat
2019	A*	`conf`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. NeurIPS Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	J	`jnl`	Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning. CoRR Mahmoud Assran, Joshua Romoff, Nicolas Ballas, Joelle Pineau, Mike Rabbat
2019	A*	`conf`	Stochastic Gradient Push for Distributed Deep Learning. ICML Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2018	J	`jnl`	Asynchronous Subgradient-Push. CoRR Mahmoud Assran, Michael G. Rabbat
2018	J	`jnl`	Stochastic Gradient Push for Distributed Deep Learning. CoRR Mahmoud Assran, Nicolas Loizou, Nicolas Ballas, Michael G. Rabbat
2017	—	`conf`	An empirical comparison of multi-agent optimization algorithms. GlobalSIP Mahmoud Assran, Michael G. Rabbat