A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 207* | 2023 |
On the duality between contrastive and non-contrastive self-supervised learning Q Garrido, Y Chen, A Bardes, L Najman, Y Lecun arXiv preprint arXiv:2206.02574, 2022 | 66 | 2022 |
Rankme: Assessing the downstream performance of pretrained self-supervised representations by their rank Q Garrido, R Balestriero, L Najman, Y Lecun International Conference on Machine Learning, 10929-10974, 2023 | 31 | 2023 |
Guillotine regularization: Improving deep networks generalization by removing their head F Bordes, R Balestriero, Q Garrido, A Bardes, P Vincent arXiv preprint arXiv:2206.13378 13, 2022 | 24* | 2022 |
Self-supervised learning of Split Invariant Equivariant representations Q Garrido, L Najman, Y Lecun International Conference on Machine Learning, 10975-10996, 2023 | 15 | 2023 |
The robustness limits of sota vision models to natural variation M Ibrahim, Q Garrido, A Morcos, D Bouchacourt arXiv preprint arXiv:2210.13604, 2022 | 11 | 2022 |
Self-supervised learning with lie symmetries for partial differential equations G Mialon, Q Garrido, H Lawrence, D Rehman, Y LeCun, B Kiani Advances in Neural Information Processing Systems 36, 28973-29004, 2023 | 6 | 2023 |
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder Q Garrido, S Damrich, A Jäger, D Cerletti, M Claassen, L Najman, ... Bioinformatics 38 (Supplement_1), i316-i324, 2022 | 3 | 2022 |
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 |