Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Simple and Effective Noisy Channel Modeling for Neural Machine Translation

Aug 15, 2019
Kyra Yee, Nathan Ng, Yann N. Dauphin, Michael Auli

* EMNLP 2019 

  Access Paper or Ask Questions

Pay Less Attention with Lightweight and Dynamic Convolutions

Jan 29, 2019
Felix Wu, Angela Fan, Alexei Baevski, Yann N. Dauphin, Michael Auli

* 14 pages, ICLR oral 

  Access Paper or Ask Questions

Fixup Initialization: Residual Learning Without Normalization

Jan 27, 2019
Hongyi Zhang, Yann N. Dauphin, Tengyu Ma

* Accepted for publication at ICLR 2019; see https://openreview.net/forum?id=H1gsz30cKX 

  Access Paper or Ask Questions

mixup: Beyond Empirical Risk Minimization

Apr 27, 2018
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz

* ICLR camera ready version. Changes vs V1: fix repo URL; add ablation studies; add mixup + dropout etc 

  Access Paper or Ask Questions

Language Modeling with Gated Convolutional Networks

Sep 08, 2017
Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier


  Access Paper or Ask Questions

Convolutional Sequence to Sequence Learning

Jul 25, 2017
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin


  Access Paper or Ask Questions

A Convolutional Encoder Model for Neural Machine Translation

Jul 25, 2017
Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin

* 13 pages 

  Access Paper or Ask Questions

Deal or No Deal? End-to-End Learning for Negotiation Dialogues

Jun 16, 2017
Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra


  Access Paper or Ask Questions

Theano: A Python framework for fast computation of mathematical expressions

May 09, 2016
The Theano Development Team, Rami Al-Rfou, Guillaume Alain, Amjad Almahairi, Christof Angermueller, Dzmitry Bahdanau, Nicolas Ballas, Frédéric Bastien, Justin Bayer, Anatoly Belikov, Alexander Belopolsky, Yoshua Bengio, Arnaud Bergeron, James Bergstra, Valentin Bisson, Josh Bleecher Snyder, Nicolas Bouchard, Nicolas Boulanger-Lewandowski, Xavier Bouthillier, Alexandre de Brébisson, Olivier Breuleux, Pierre-Luc Carrier, Kyunghyun Cho, Jan Chorowski, Paul Christiano, Tim Cooijmans, Marc-Alexandre Côté, Myriam Côté, Aaron Courville, Yann N. Dauphin, Olivier Delalleau, Julien Demouth, Guillaume Desjardins, Sander Dieleman, Laurent Dinh, Mélanie Ducoffe, Vincent Dumoulin, Samira Ebrahimi Kahou, Dumitru Erhan, Ziye Fan, Orhan Firat, Mathieu Germain, Xavier Glorot, Ian Goodfellow, Matt Graham, Caglar Gulcehre, Philippe Hamel, Iban Harlouchet, Jean-Philippe Heng, Balázs Hidasi, Sina Honari, Arjun Jain, Sébastien Jean, Kai Jia, Mikhail Korobov, Vivek Kulkarni, Alex Lamb, Pascal Lamblin, Eric Larsen, César Laurent, Sean Lee, Simon Lefrancois, Simon Lemieux, Nicholas Léonard, Zhouhan Lin, Jesse A. Livezey, Cory Lorenz, Jeremiah Lowin, Qianli Ma, Pierre-Antoine Manzagol, Olivier Mastropietro, Robert T. McGibbon, Roland Memisevic, Bart van Merriënboer, Vincent Michalski, Mehdi Mirza, Alberto Orlandi, Christopher Pal, Razvan Pascanu, Mohammad Pezeshki, Colin Raffel, Daniel Renshaw, Matthew Rocklin, Adriana Romero, Markus Roth, Peter Sadowski, John Salvatier, François Savard, Jan Schlüter, John Schulman, Gabriel Schwartz, Iulian Vlad Serban, Dmitriy Serdyuk, Samira Shabanian, Étienne Simon, Sigurd Spieckermann, S. Ramana Subramanyam, Jakub Sygnowski, Jérémie Tanguay, Gijs van Tulder, Joseph Turian, Sebastian Urban, Pascal Vincent, Francesco Visin, Harm de Vries, David Warde-Farley, Dustin J. Webb, Matthew Willson, Kelvin Xu, Lijun Xue, Li Yao, Saizheng Zhang, Ying Zhang

* 19 pages, 5 figures 

  Access Paper or Ask Questions

Predicting distributions with Linearizing Belief Networks

May 02, 2016
Yann N. Dauphin, David Grangier


  Access Paper or Ask Questions

Equilibrated adaptive learning rates for non-convex optimization

Aug 29, 2015
Yann N. Dauphin, Harm de Vries, Yoshua Bengio


  Access Paper or Ask Questions

On the saddle point problem for non-convex optimization

May 28, 2014
Razvan Pascanu, Yann N. Dauphin, Surya Ganguli, Yoshua Bengio

* 11 pages, 8 figures 

  Access Paper or Ask Questions

Zero-Shot Learning for Semantic Utterance Classification

Mar 07, 2014
Yann N. Dauphin, Gokhan Tur, Dilek Hakkani-Tur, Larry Heck


  Access Paper or Ask Questions

Big Neural Networks Waste Capacity

Mar 14, 2013
Yann N. Dauphin, Yoshua Bengio


  Access Paper or Ask Questions