Adrien Bardes

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 19

Top Topics

Supervised Learning

Visual Representations

Trec Collections

Computer Vision

Top Venues

Trans. Mach. Learn. Res.

Publications

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra
An Introduction to Vision-Language Modeling. CoRR (2024)
Adrien Bardes, Quentin Garrido, Jean Ponce, Xinlei Chen, Michael G. Rabbat, Yann LeCun, Mahmoud Assran, Nicolas Ballas
Revisiting Feature Prediction for Learning Visual Representations from Video. CoRR (2024)
Quentin Garrido, Mahmoud Assran, Nicolas Ballas, Adrien Bardes, Laurent Najman, Yann LeCun
Learning and Leveraging World Models in Visual Representation Learning. CoRR (2024)
Adrien Bardes, Jean Ponce, Yann LeCun
MC-JEPA: A Joint-Embedding Predictive Architecture for Self-Supervised Learning of Motion and Content Features. CoRR (2023)
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, Tom Goldstein
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. CoRR (2023)
Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent
Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)
Ihab Bendidi, Adrien Bardes, Ethan Cohen, Alexis Lamiable, Guillaume Bollot, Auguste Genovesio
No Free Lunch in Self Supervised Representation Learning. CoRR (2023)
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, Jonas Geiping, Quentin Garrido, Pierre Fernandez, Amir Bar, Hamed Pirsiavash, Yann LeCun, Micah Goldblum
A Cookbook of Self-Supervised Learning. CoRR (2023)
Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
Bag of Image Patch Embedding Behind the Success of Self-Supervised Learning. Trans. Mach. Learn. Res. 2023 (2023)
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, Tom Goldstein
Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks. NeurIPS (2023)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. ICLR (2023)
Adrien Bardes, Jean Ponce, Yann LeCun
VICRegL: Self-Supervised Learning of Local Visual Features. CoRR (2022)
Adrien Bardes, Jean Ponce, Yann LeCun
VICRegL: Self-Supervised Learning of Local Visual Features. NeurIPS (2022)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. CoRR (2022)
Adrien Bardes, Jean Ponce, Yann LeCun
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. ICLR (2022)
Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent
Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. CoRR (2022)
Yubei Chen, Adrien Bardes, Zengyi Li, Yann LeCun
Intra-Instance VICReg: Bag of Self-Supervised Image Patch Embedding. CoRR (2022)
Adrien Bardes, Jean Ponce, Yann LeCun
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning. CoRR (2021)
Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang
Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. ICCV (2021)