Quentin Garrido

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 17

Top Topics

Supervised Learning

Visual Representation

Inductive Inference

Partial Differential Equations

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)
Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank. ICML (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)
Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt
The Robustness Limits of SoTA Vision Models to Natural Variation. Trans. Mach. Learn. Res. 2023 (2023)
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak T. Kiani
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. NeurIPS (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)
Quentin Garrido, Laurent Najman, Yann LeCun
Self-supervised learning of Split Invariant Equivariant representations. ICML (2023)
Quentin Garrido, Laurent Najman, Yann LeCun
Self-supervised learning of Split Invariant Equivariant representations. CoRR (2023)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. ICLR (2023)
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Toussi Kiani
Self-Supervised Learning with Lie Symmetries for Partial Differential Equations. CoRR (2023)
Quentin Garrido, Randall Balestriero, Laurent Najman, Yann LeCun
RankMe: Assessing the downstream performance of pretrained self-supervised representations by their rank. CoRR (2022)
Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
On the duality between contrastive and non-contrastive self-supervised learning. CoRR (2022)
Florian Bordes, Randall Balestriero, Quentin Garrido, Adrien Bardes, Pascal Vincent
Guillotine Regularization: Improving Deep Networks Generalization by Removing their Head. CoRR (2022)
Mark Ibrahim, Quentin Garrido, Ari Morcos, Diane Bouchacourt
The Robustness Limits of SoTA Vision Models to Natural Variation. CoRR (2022)
Quentin Garrido, Sebastian Damrich, Alexander Jäger, Dario Cerletti, Manfred Claassen, Laurent Najman, Fred A. Hamprecht
Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. CoRR (2021)