David Grangier
David Grangier
Facebook AI Research
Verified email at fb.com - Homepage
Cited by
Cited by
Convolutional sequence to sequence learning
J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin
arXiv preprint arXiv:1705.03122, 2017
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
International conference on machine learning, 933-941, 2017
Label embedding trees for large multi-class tasks
S Bengio, J Weston, D Grangier
Advances in Neural Information Processing Systems, 163-171, 2010
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
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
Understanding back-translation at scale
S Edunov, M Ott, M Auli, D Grangier
arXiv preprint arXiv:1808.09381, 2018
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
Scaling neural machine translation
M Ott, S Edunov, D Grangier, M Auli
arXiv preprint arXiv:1806.00187, 2018
Neural text generation from structured data with application to the biography domain
R Lebret, D Grangier, M Auli
arXiv preprint arXiv:1603.07771, 2016
Efficient softmax approximation for gpus
A Joulin, M Cissé, D Grangier, H Jégou
International Conference on Machine Learning, 1302-1310, 2017
Discriminative keyword spotting
J Keshet, D Grangier, S Bengio
Speech Communication 51 (4), 317-329, 2009
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 Conference on Computer Vision and Pattern …, 2019
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
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
Supervised semantic indexing
B Bai, J Weston, D Grangier, R Collobert, K Sadamasa, Y Qi, O Chapelle, ...
Proceedings of the 18th ACM conference on Information and knowledge …, 2009
Deep convolutional networks for scene parsing
D Grangier, L Bottou, R Collobert
ICML 2009 Deep Learning Workshop 3 (6), 109, 2009
Controllable abstractive summarization
A Fan, D Grangier, M Auli
arXiv preprint arXiv:1711.05217, 2017
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
Feature completion in computer-human interactive learning
PY Simard, DM Chickering, DG Grangier, DX Charles, L Bottou, ...
US Patent 9,355,088, 2016
Quaternet: A quaternion-based recurrent model for human motion
D Pavllo, D Grangier, M Auli
arXiv preprint arXiv:1805.06485, 2018
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