Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. - Liangke Gui; Adrien Bardes; Ruslan Salakhutdinov; Alexander Hauptmann 001; Martial Hebert; Yu-Xiong Wang (ICCV, 2021)

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. - Adrien Bardes; Jean Ponce; Yann LeCun (ICLR, 2022)

VICRegL: Self-Supervised Learning of Local Visual Features. - Adrien Bardes; Jean Ponce; Yann LeCun (NeurIPS, 2022)

Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. - Yubei Chen; Adrien Bardes; Zengyi Li; Yann LeCun (CoRR, 2022)

Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. - Florian Bordes; Randall Balestriero; Quentin Garrido; Adrien Bardes; Pascal Vincent (CoRR, 2022)

On the duality between contrastive and non-contrastive self-supervised learning. - Quentin Garrido; Yubei Chen; Adrien Bardes; Laurent Najman; Yann LeCun (ICLR, 2023)

Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. - Micah Goldblum; Hossein Souri; Renkun Ni; Manli Shu; Viraj Prabhu; Gowthami Somepalli; Prithvijit Chattopadhyay; Mark Ibrahim; Adrien Bardes; Judy Hoffman; Rama Chellappa; Andrew Gordon Wilson; et al. (NeurIPS, 2023)

No Free Lunch in Self Supervised Representation Learning. - Ihab Bendidi; Adrien Bardes; Ethan Cohen; Alexis Lamiable; Guillaume Bollot; Auguste Genovesio (CoRR, 2023)

A Cookbook of Self-Supervised Learning. - Randall Balestriero; Mark Ibrahim; Vlad Sobal; Ari Morcos; Shashank Shekhar; Tom Goldstein; Florian Bordes; Adrien Bardes; Grégoire Mialon; Yuandong Tian; Avi Schwarzschild; Andrew Gordon Wilson; et al. (CoRR, 2023)

MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features. - Adrien Bardes; Jean Ponce; Yann LeCun (CoRR, 2023)

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning. - Florian Bordes; Randall Balestriero; Quentin Garrido; Adrien Bardes; Pascal Vincent (Trans. Mach. Learn. Res., 2023)

Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. - Yubei Chen; Adrien Bardes; Zengyi Li; Yann LeCun (Trans. Mach. Learn. Res., 2023)

Learning and Leveraging World Models in Visual Representation Learning. - Quentin Garrido; Mahmoud Assran; Nicolas Ballas; Adrien Bardes; Laurent Najman; Yann LeCun (CoRR, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

Revisiting Feature Prediction for Learning Visual Representations from Video. - Adrien Bardes; Quentin Garrido; Jean Ponce; Xinlei Chen; Michael Rabbat; Yann LeCun; Mido Assran; Nicolas Ballas (Trans. Mach. Learn. Res., 2024)

Self-Supervised Learning with Joint-Embedding Predictive Architectures. (Apprentissage auto-supervisé utilisant des architectures à représentations jointes). - Adrien Bardes (2024)

Intuitive physics understanding emerges from self-supervised pretraining on natural videos. - Quentin Garrido; Nicolas Ballas; Mahmoud Assran; Adrien Bardes; Laurent Najman; Michael Rabbat; Emmanuel Dupoux; Yann LeCun (CoRR, 2025)

V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. - Mido Assran; Adrien Bardes; David Fan; Quentin Garrido; Russell Howes; Mojtaba Komeili; Matthew J. Muckley; Ammar Rizvi; Claire Roberts; Koustuv Sinha; Artem Zholus; Sergio Arnaud; et al. (CoRR, 2025)