Garrido, Quentin

10 publications

TMLR 2025 A Shortcut-Aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran

TMLR 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

NeurIPS 2024 UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling Haider Al-Tahan, Quentin Garrido, Randall Balestriero, Diane Bouchacourt, Caner Hazirbas, Mark Ibrahim

TMLR 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

ICLR 2023 On the Duality Between Contrastive and Non-Contrastive Self-Supervised Learning Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun

ICML 2023 RankMe: Assessing the Downstream Performance of Pretrained Self-Supervised Representations by Their Rank Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun

ICML 2023 Self-Supervised Learning of Split Invariant Equivariant Representations Quentin Garrido, Laurent Najman, Yann Lecun

NeurIPS 2023 Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani

ICLRW 2023 Self-Supervised Learning with Lie Symmetries for Partial Differential Equations Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani

TMLR 2023 The Robustness Limits of SoTA Vision Models to Natural Variation Mark Ibrahim, Quentin Garrido, Ari S. Morcos, Diane Bouchacourt