A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 371 | 2023 |
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 | 128* | |
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 | 35 | 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 | 10 | 2022 |
Light-weight probing of unsupervised representations for Reinforcement Learning NC Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun Reinforcement Learning Conference 1, 1924-1949, 2024 | 9* | 2024 |
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 | 6 | 2022 |
Hierarchical world models as visual whole-body humanoid controllers N Hansen, J SV, V Sobal, Y LeCun, X Wang, H Su arXiv preprint arXiv:2405.18418, 2024 | 5 | 2024 |
Gradient-based planning with world models SV Jyothir, S Jalagam, Y LeCun, V Sobal arXiv preprint arXiv:2312.17227, 2023 | 4 | 2023 |
Gradient-based Planning with World Models J SV, S Jalagam, Y LeCun, V Sobal arXiv preprint arXiv:2312.17227, 2023 | 1 | 2023 |
Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models V Sobal, W Zhang, K Cho, R Balestriero, TGJ Rudner, Y LeCun arXiv preprint arXiv:2502.14819, 2025 | | 2025 |
-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs V Sobal, M Ibrahim, R Balestriero, V Cabannes, D Bouchacourt, P Astolfi, ... arXiv preprint arXiv:2407.18134, 2024 | | 2024 |
Gradient-based Planning with World Models S Jalagam, Y LeCun, V Sobal arXiv e-prints, arXiv: 2312.17227, 2023 | | 2023 |