Dinov2: Learning robust visual features without supervision M Oquab, T Darcet, T Moutakanni, H Vo, M Szafraniec, V Khalidov, ... arXiv preprint arXiv:2304.07193, 2023 | 863* | 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 | 361 | 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 | 216 | 2022 |
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 | 141 | 2021 |
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 | 106 | 2023 |
Asynchronous gradient-push M Assran, M Rabbat IEEE Transactions on Automatic Control 66 (1), 168-183, 2021 | 83* | 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 | 81 | 2020 |
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 | 64 | 2020 |
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 | 33 | 2019 |
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 | 25 | 2022 |
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 | 24 | 2020 |
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 |
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 |
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 | 6 | 2023 |
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 |
V-JEPA: Latent Video Prediction for Visual Representation Learning A Bardes, Q Garrido, J Ponce, X Chen, M Rabbat, Y LeCun, M Assran, ... | 2 | 2023 |
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 | 1 | 2024 |
Revisiting feature prediction for learning visual representations from video A Bardes, Q Garrido, J Ponce, X Chen, M Rabbat, Y LeCun, M Assran, ... arXiv preprint arXiv:2404.08471, 2024 | 1 | 2024 |
Predicting masked tokens in stochastic locations improves masked image modeling A Bar, F Bordes, A Shocher, M Assran, P Vincent, N Ballas, T Darrell, ... arXiv preprint arXiv:2308.00566, 2023 | | 2023 |