Dauphin, Yann

17 publications

ICML 2025 Avoiding Spurious Sharpness Minimization Broadens Applicability of SAM Sidak Pal Singh, Hossein Mobahi, Atish Agarwala, Yann Dauphin

NeurIPS 2025 Capturing Individual Human Preferences with Reward Features Andre Barreto, Vincent Dumoulin, Yiran Mao, Mark Rowland, Nicolas Perez-Nieves, Bobak Shahriari, Yann Dauphin, Doina Precup, Hugo Larochelle

TMLR 2024 A Density Estimation Perspective on Learning from Pairwise Human Preferences Vincent Dumoulin, Daniel D. Johnson, Pablo Samuel Castro, Hugo Larochelle, Yann Dauphin

CPAL 2024 Jaxpruner: A Concise Library for Sparsity Research Joo Hyung Lee, Wonpyo Park, Nicole Elyse Mitchell, Jonathan Pilault, Johan Samir Obando Ceron, Han-Byul Kim, Namhoon Lee, Elias Frantar, Yun Long, Amir Yazdanbakhsh, Woohyun Han, Shivani Agrawal, Suvinay Subramanian, Xin Wang, Sheng-Chun Kao, Xingyao Zhang, Trevor Gale, Aart J.C. Bik, Milen Ferev, Zhonglin Han, Hong-Seok Kim, Yann Dauphin, Gintare Karolina Dziugaite, Pablo Samuel Castro, Utku Evci

ICML 2023 SAM Operates Far from Home: Eigenvalue Regularization as a Dynamical Phenomenon Atish Agarwala, Yann Dauphin

TMLR 2023 Temperature Check: Theory and Practice for Training Models with SoftMax-Cross-Entropy Losses Atish Agarwala, Samuel Stern Schoenholz, Jeffrey Pennington, Yann Dauphin

ICML 2023 Tied-Augment: Controlling Representation Similarity Improves Data Augmentation Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk

ICLR 2022 No One Representation to Rule Them All: Overlapping Features of Training Methods Raphael Gontijo-Lopes, Yann Dauphin, Ekin Dogus Cubuk

NeurIPSW 2022 Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawe, Marianne ABEMGNIGNI Njifon, Jonathan Heek, Yann Dauphin

ICLR 2021 Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral Lucio M. Dery, Yann Dauphin, David Grangier

ICLR 2021 Deconstructing the Regularization of BatchNorm Yann Dauphin, Ekin Dogus Cubuk

ECCV 2020 Robust and On-the-Fly Dataset Denoising for Image Classification Jiaming Song, Yann Dauphin, Michael Auli, Tengyu Ma

ICLR 2019 Pay Less Attention with Lightweight and Dynamic Convolutions Felix Wu, Angela Fan, Alexei Baevski, Yann Dauphin, Michael Auli

ICML 2017 Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cisse, Piotr Bojanowski, Edouard Grave, Yann Dauphin, Nicolas Usunier

NeurIPS 2015 Equilibrated Adaptive Learning Rates for Non-Convex Optimization Yann Dauphin, Harm de Vries, Yoshua Bengio

ICML 2013 Better Mixing via Deep Representations Yoshua Bengio, Gregoire Mesnil, Yann Dauphin, Salah Rifai

NeurIPS 2013 Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs Yann Dauphin, Yoshua Bengio