| A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 189 | 2023 |
| Avi Schwarzschild, Andrew Gordon Wilson, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, and Micah Goldblum R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... A cookbook of self-supervised learning 2, 2023 | 46 | 2023 |
| Tico: Transformation invariance and covariance contrast for self-supervised visual representation learning J Zhu, RM Moraes, S Karakulak, V Sobol, A Canziani, Y LeCun arXiv preprint arXiv:2206.10698, 2022 | 16 | 2022 |
| A cookbook of self-supervised learning. arXiv 2023 R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 0 | 10 | |
| Light-weight probing of unsupervised representations for reinforcement learning W Zhang, A GX-Chen, V Sobal, Y LeCun, N Carion arXiv preprint arXiv:2208.12345, 2022 | 7 | 2022 |
| Separating the world and ego models for self-driving V Sobal, A Canziani, N Carion, K Cho, Y LeCun arXiv preprint arXiv:2204.07184, 2022 | 7 | 2022 |
| Joint embedding predictive architectures focus on slow features V Sobal, J SV, S Jalagam, N Carion, K Cho, Y LeCun arXiv preprint arXiv:2211.10831, 2022 | 4 | 2022 |
| Gradient-based planning with world models SV Jyothir, S Jalagam, Y LeCun, V Sobal arXiv preprint arXiv:2312.17227, 2023 | 1 | 2023 |
| Gradient-based Planning with World Models J SV, S Jalagam, Y LeCun, V Sobal arXiv preprint arXiv:2312.17227, 2023 | | 2023 |
| Gradient-based Planning with World Models S Jalagam, Y LeCun, V Sobal arXiv e-prints, arXiv: 2312.17227, 2023 | | 2023 |
Yann LeCunChief AI Scientist at Facebook & Silver Professor at the Courant Institute, New York UniversityBestätigte E-Mail-Adresse bei cs.nyu.edu
