Cabannes, Vivien

19 publications

ICLR 2025 $\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
NeurIPS 2025 Asymmetric REINFORCE for Off-Policy Reinforcement Learning: Balancing Positive and Negative Rewards Charles Arnal, Gaƫtan Narozniak, Vivien Cabannes, Yunhao Tang, Julia Kempe, Remi Munos
ICLRW 2025 Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification Konstantin Donhauser, Charles Arnal, Mohammad Pezeshki, Vivien Cabannes, David Lopez-Paz, Kartik Ahuja
ICMLW 2024 $\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
NeurIPSW 2024 $\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs Vlad Sobal, Mark Ibrahim, Randall Balestriero, Vivien Cabannes, Diane Bouchacourt, Pietro Astolfi, Kyunghyun Cho, Yann LeCun
NeurIPS 2024 Iteration Head: A Mechanistic Study of Chain-of-Thought Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Alice Yang, Francois Charton, Julia Kempe
ICMLW 2024 Iteration Head: A Mechanistic Study of Chain-of-Thought Vivien Cabannes, Charles Arnal, Wassim Bouaziz, Xingyu Alice Yang, Francois Charton, Julia Kempe
ICML 2024 Learning Associative Memories with Gradient Descent Vivien Cabannes, Berfin Simsek, Alberto Bietti
COLT 2024 Mode Estimation with Partial Feedback Charles Arnal, Vivien Cabannes, Vianney Perchet
ICLR 2024 Scaling Laws for Associative Memories Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
ICCV 2023 Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need Vivien Cabannes, Leon Bottou, Yann Lecun, Randall Balestriero
NeurIPSW 2023 Associative Memories with Heavy-Tailed Data Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
NeurIPSW 2023 Associative Memories with Heavy-Tailed Data Vivien Cabannes, Elvis Dohmatob, Alberto Bietti
NeurIPS 2023 Birth of a Transformer: A Memory Viewpoint Alberto Bietti, Vivien Cabannes, Diane Bouchacourt, Herve Jegou, Leon Bottou
NeurIPS 2023 How Many Samples Are Needed to Leverage Smoothness? Vivien Cabannes, Stefano Vigogna
ICML 2023 The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann Lecun, Alberto Bietti
ICLRW 2023 The SSL Interplay: Augmentations, Inductive Bias, and Generalization Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann LeCun, Alberto Bietti
NeurIPS 2022 Active Labeling: Streaming Stochastic Gradients Vivien Cabannes, Francis R. Bach, Vianney Perchet, Alessandro Rudi
NeurIPS 2021 Overcoming the Curse of Dimensionality with Laplacian Regularization in Semi-Supervised Learning Vivien Cabannes, Loucas Pillaud-Vivien, Francis R. Bach, Alessandro Rudi