David Grangier
David Grangier
Google Brain
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Cited by
Cited by
Convolutional sequence to sequence learning
J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin
International conference on machine learning, 1243-1252, 2017
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
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
International conference on machine learning, 933-941, 2017
Understanding back-translation at scale
S Edunov, M Ott, M Auli, D Grangier
arXiv preprint arXiv:1808.09381, 2018
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
Analyzing uncertainty in neural machine translation
M Ott, M Auli, D Grangier, MA Ranzato
International Conference on Machine Learning, 3956-3965, 2018
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
Label embedding trees for large multi-class tasks
S Bengio, J Weston, D Grangier
Advances in neural information processing systems 23, 2010
Neural text generation from structured data with application to the biography domain
R Lebret, D Grangier, M Auli
arXiv preprint arXiv:1603.07771, 2016
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
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
Efficient softmax approximation for GPUs
A Joulin, M Cissé, D Grangier, H Jégou
International conference on machine learning, 1302-1310, 2017
Controllable abstractive summarization
A Fan, D Grangier, M Auli
arXiv preprint arXiv:1711.05217, 2017
ELI5: Long form question answering
A Fan, Y Jernite, E Perez, D Grangier, J Weston, M Auli
arXiv preprint arXiv:1907.09190, 2019
Quaternet: A quaternion-based recurrent model for human motion
D Pavllo, D Grangier, M Auli
arXiv preprint arXiv:1805.06485, 2018
Wavesplit: End-to-end speech separation by speaker clustering
N Zeghidour, D Grangier
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2840-2849, 2021
Tagged back-translation
I Caswell, C Chelba, D Grangier
arXiv preprint arXiv:1906.06442, 2019
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
Discriminative keyword spotting
J Keshet, D Grangier, S Bengio
Speech Communication 51 (4), 317-329, 2009
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
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