| Dinov2: Learning robust visual features without supervision M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ... TMLR - Transactions on Machine Learning Research, 2023 | 2293* | 2023 |
| Stochastic gradient push for distributed deep learning M Assran, N Loizou, N Ballas, M Rabbat ICML - International Conference on Machine Learning 97, 344-353, 2019 | 408 | 2019 |
| Masked siamese networks for label-efficient learning M Assran, M Caron, I Misra, P Bojanowski, F Bordes, P Vincent, A Joulin, ... ECCV - European Conference on Computer Vision, 2022 | 332 | 2022 |
| Self-Supervised Learning from Images with a Joint-Embedding Predictive Architecture M Assran, Q Duval, I Misra, P Bojanowski, P Vincent, M Rabbat, Y LeCun, ... CVPR - IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 | 285 | 2023 |
| Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples M Assran, M Caron, I Misra, P Bojanowski, A Joulin, N Ballas, M Rabbat ICCV - IEEE/CVF International Conference on Computer Vision, 8443-8452, 2021 | 167 | 2021 |
| Advances in asynchronous parallel and distributed optimization M Assran, A Aytekin, H Feyzmahdavian, M Johansson, M Rabbat Proceedings of the IEEE 108 (11), 2013-2031, 2020 | 101 | 2020 |
| Asynchronous gradient-push M Assran, M Rabbat IEEE Transactions on Automatic Control 66 (1), 168-183, 2021 | 93* | 2021 |
| On the convergence of Nesterov's accelerated gradient method in stochastic settings M Assran, M Rabbat ICML - International Conference on Machine Learning 119, 410-420, 2020 | 74 | 2020 |
| Revisiting feature prediction for learning visual representations from video A Bardes, Q Garrido, J Ponce, X Chen, M Rabbat, Y LeCun, M Assran, ... TMLR - Transactions on Machine Learning Research, 2024 | 52* | 2024 |
| The hidden uniform cluster prior in self-supervised learning M Assran, R Balestriero, Q Duval, F Bordes, I Misra, P Bojanowski, ... ICLR - International Conference on Learning Representations, 2022 | 48 | 2022 |
| Gossip-based actor-learner architectures for deep reinforcement learning M Assran, J Romoff, N Ballas, J Pineau, M Rabbat NeurIPS - Advances in Neural Information Processing Systems 32, 13320-13330, 2019 | 39 | 2019 |
| Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations M Assran, N Ballas, L Castrejon, M Rabbat NeurIPS - Workshop on Self-Supervised Learning, 2020 | 25 | 2020 |
| Learning and leveraging world models in visual representation learning Q Garrido, M Assran, N Ballas, A Bardes, L Najman, Y LeCun arXiv preprint arXiv:2403.00504, 2024 | 11 | 2024 |
| RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data S Mo, JC Su, CY Ma, M Assran, I Misra, L Yu, S Bell ICLR - International Conference on Learning Representations, 2023 | 11 | 2023 |
| An empirical comparison of multi-agent optimization algorithms M Assran, M Rabbat IEEE GlobalSIP - IEEE Global Conference on Signal and Information Processing, 2017 | 11 | 2017 |
| Modeling caption diversity in contrastive vision-language pretraining S Lavoie, P Kirichenko, M Ibrahim, M Assran, AG Wildon, A Courville, ... ICML - International Conference on Machine Learning, 2024 | 8 | 2024 |
| A closer look at codistillation for distributed training S Sodhani, O Delalleau, M Assran, K Sinha, N Ballas, M Rabbat arXiv preprint arXiv:2010.02838, 2020 | 8 | 2020 |
| An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels DK Nguyen, M Assran, U Jain, MR Oswald, CGM Snoek, X Chen arXiv preprint arXiv:2406.09415, 2024 | 4 | 2024 |
| Memory Augmented Optimizers for Deep Learning PA McRae, P Parthasarathi, M Assran, S Chandar ICLR - International Conference on Learning Representations, 2022 | 4 | 2022 |
| Asynchronous subgradient push: Fast, robust, and scalable multi-agent optimization M Assran McGill University Libraries, 2018 | 4 | 2018 |
Michael RabbatResearch Scientist at FacebookVerified email at fb.com
