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Light-weight probing of unsupervised representations for Reinforcement Learning


Aug 25, 2022
Wancong Zhang, Anthony GX-Chen, Vlad Sobal, Yann LeCun, Nicolas Carion


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What Do We Maximize in Self-Supervised Learning?


Jul 20, 2022
Ravid Shwartz-Ziv, Randall Balestriero, Yann LeCun


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TiCo: Transformation Invariance and Covariance Contrast for Self-Supervised Visual Representation Learning


Jun 23, 2022
Jiachen Zhu, Rafael M. Moraes, Serkan Karakulak, Vlad Sobol, Alfredo Canziani, Yann LeCun


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Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding


Jun 17, 2022
Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun


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Masked Siamese ConvNets


Jun 15, 2022
Li Jing, Jiachen Zhu, Yann LeCun


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Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone


Jun 15, 2022
Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang

* Project Website: https://ashkamath.github.io/FIBER_page 

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Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods


May 26, 2022
Randall Balestriero, Yann LeCun


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Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors


May 20, 2022
Ravid Shwartz-Ziv, Micah Goldblum, Hossein Souri, Sanyam Kapoor, Chen Zhu, Yann LeCun, Andrew Gordon Wilson

* Code available at https://github.com/hsouri/BayesianTransferLearning 

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Separating the World and Ego Models for Self-Driving


Apr 14, 2022
Vlad Sobal, Alfredo Canziani, Nicolas Carion, Kyunghyun Cho, Yann LeCun

* 8 pages main content, 14 with references and appendix. 5 figures in total. Submitted and accepted to ICLR 2022 workshop on Generalizable Policy Learning in the Physical World (https://ai-workshops.github.io/generalizable-policy-learning-in-the-physical-world/

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