Dauphin, Yann N.

15 publications

NeurIPS 2024 Neglected Hessian Component Explains Mysteries in Sharpness Regularization Yann N. Dauphin, Atish Agarwala, Hossein Mobahi

AAAI 2022 Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win Utku Evci, Yani Ioannou, Cem Keskin, Yann N. Dauphin

ICLR 2019 Fixup Initialization: Residual Learning Without Normalization Hongyi Zhang, Yann N. Dauphin, Tengyu Ma

NeurIPS 2019 MetaInit: Initializing Learning by Learning to Initialize Yann N. Dauphin, Samuel Schoenholz

ICLR 2018 Mixup: Beyond Empirical Risk Minimization Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz

ICML 2017 Convolutional Sequence to Sequence Learning Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin

ICML 2017 Language Modeling with Gated Convolutional Networks Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier

ICLR 2016 Predicting Distributions with Linearizing Belief Networks Yann N. Dauphin, David Grangier

NeurIPS 2014 Identifying and Attacking the Saddle Point Problem in High-Dimensional Non-Convex Optimization Yann N. Dauphin, Razvan Pascanu, Caglar Gulcehre, Kyunghyun Cho, Surya Ganguli, Yoshua Bengio

ICLR 2014 Zero-Shot Learning and Clustering for Semantic Utterance Classification Yann N. Dauphin, Gökhan Tür, Dilek Hakkani-Tür, Larry P. Heck

ICLR 2013 Big Neural Networks Waste Capacity Yann N. Dauphin, Yoshua Bengio

ICML 2012 A Generative Process for Contractive Auto-Encoders Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio

ECML-PKDD 2011 Higher Order Contractive Auto-Encoder Salah Rifai, Grégoire Mesnil, Pascal Vincent, Xavier Muller, Yoshua Bengio, Yann N. Dauphin, Xavier Glorot

ICML 2011 Large-Scale Learning of Embeddings with Reconstruction Sampling Yann N. Dauphin, Xavier Glorot, Yoshua Bengio

NeurIPS 2011 The Manifold Tangent Classifier Salah Rifai, Yann N. Dauphin, Pascal Vincent, Yoshua Bengio, Xavier Muller