Author pages are created from data sourced from our academic publisher partnerships and public sources.
- Publications
- Influence
Share This Author
Convolutional Sequence to Sequence Learning
- Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann Dauphin
- Computer ScienceICML
- 8 May 2017
TLDR
Language Modeling with Gated Convolutional Networks
- Yann Dauphin, Angela Fan, Michael Auli, David Grangier
- Computer ScienceICML
- 23 December 2016
TLDR
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
- Myle Ott, Sergey Edunov, Michael Auli
- Computer ScienceNAACL
- 1 April 2019
TLDR
Understanding Back-Translation at Scale
- Sergey Edunov, Myle Ott, Michael Auli, David Grangier
- Computer ScienceEMNLP
- 1 August 2018
TLDR
3D Human Pose Estimation in Video With Temporal Convolutions and Semi-Supervised Training
- Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
- Computer ScienceIEEE/CVF Conference on Computer Vision and…
- 28 November 2018
In this work, we demonstrate that 3D poses in video can be effectively estimated with a fully convolutional model based on dilated temporal convolutions over 2D keypoints. We also introduce…
Neural Text Generation from Structured Data with Application to the Biography Domain
- R. Lebret, David Grangier, Michael Auli
- Computer ScienceEMNLP
- 24 March 2016
TLDR
Scaling Neural Machine Translation
- Myle Ott, Sergey Edunov, David Grangier, Michael Auli
- Computer ScienceWMT
- 1 June 2018
TLDR
Label Embedding Trees for Large Multi-Class Tasks
- Samy Bengio, J. Weston, David Grangier
- Computer ScienceNIPS
- 6 December 2010
TLDR
A Convolutional Encoder Model for Neural Machine Translation
- Jonas Gehring, Michael Auli, David Grangier, Yann Dauphin
- Computer ScienceACL
- 7 November 2016
TLDR
Efficient softmax approximation for GPUs
- Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, H. Jégou
- Computer ScienceICML
- 14 September 2016
TLDR
...
...