David Grangier
David Grangier
Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
Convolutional sequence to sequence learning
J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin
International Conference on Machine Learning, 1243-1252, 2017
26272017
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
International conference on machine learning, 933-941, 2017
13832017
fairseq: A fast, extensible toolkit for sequence modeling
M Ott, S Edunov, A Baevski, A Fan, S Gross, N Ng, D Grangier, M Auli
arXiv preprint arXiv:1904.01038, 2019
12882019
Understanding back-translation at scale
S Edunov, M Ott, M Auli, D Grangier
arXiv preprint arXiv:1808.09381, 2018
6332018
Label embedding trees for large multi-class tasks
S Bengio, J Weston, D Grangier
4342010
3d human pose estimation in video with temporal convolutions and semi-supervised training
D Pavllo, C Feichtenhofer, D Grangier, M Auli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
4142019
A discriminative kernel-based approach to rank images from text queries
D Grangier, S Bengio
IEEE transactions on pattern analysis and machine intelligence 30 (8), 1371-1384, 2008
4122008
Scaling neural machine translation
M Ott, S Edunov, D Grangier, M Auli
arXiv preprint arXiv:1806.00187, 2018
4102018
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
3852016
Neural text generation from structured data with application to the biography domain
R Lebret, D Grangier, M Auli
arXiv preprint arXiv:1603.07771, 2016
3112016
Efficient softmax approximation for GPUs
A Joulin, M Cissé, D Grangier, H Jégou
International conference on machine learning, 1302-1310, 2017
2212017
Controllable abstractive summarization
A Fan, D Grangier, M Auli
arXiv preprint arXiv:1711.05217, 2017
1902017
Discriminative keyword spotting
J Keshet, D Grangier, S Bengio
Speech Communication 51 (4), 317-329, 2009
1682009
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
1552015
Quaternet: A quaternion-based recurrent model for human motion
D Pavllo, D Grangier, M Auli
arXiv preprint arXiv:1805.06485, 2018
1452018
Classical structured prediction losses for sequence to sequence learning
S Edunov, M Ott, M Auli, D Grangier, MA Ranzato
arXiv preprint arXiv:1711.04956, 2017
1452017
Learning to rank with (a lot of) word features
B Bai, J Weston, D Grangier, R Collobert, K Sadamasa, Y Qi, O Chapelle, ...
Information retrieval 13 (3), 291-314, 2010
1372010
Analyzing uncertainty in neural machine translation
M Ott, M Auli, D Grangier, MA Ranzato
International Conference on Machine Learning, 3956-3965, 2018
1312018
Efficient content-based sparse attention with routing transformers
A Roy, M Saffar, A Vaswani, D Grangier
Transactions of the Association for Computational Linguistics 9, 53-68, 2021
1212021
Tagged back-translation
I Caswell, C Chelba, D Grangier
arXiv preprint arXiv:1906.06442, 2019
1152019
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