Michael Auli
Michael Auli
Facebook AI Research
Verified email at fb.com
Title
Cited by
Cited by
Year
Convolutional sequence to sequence learning
J Gehring, M Auli, D Grangier, D Yarats, YN Dauphin
arXiv preprint arXiv:1705.03122, 2017
15452017
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
8232015
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
International conference on machine learning, 933-941, 2017
7422017
A neural network approach to context-sensitive generation of conversational responses
A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ...
arXiv preprint arXiv:1506.06714, 2015
6662015
Abstractive sentence summarization with attentive recurrent neural networks
S Chopra, M Auli, AM Rush
Proceedings of the 2016 Conference of the North American Chapter of the …, 2016
5242016
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
2642019
Joint language and translation modeling with recurrent neural networks
M Auli, M Galley, C Quirk, G Zweig
2592013
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
2302016
Understanding back-translation at scale
S Edunov, M Ott, M Auli, D Grangier
arXiv preprint arXiv:1808.09381, 2018
2252018
Scaling neural machine translation
M Ott, S Edunov, D Grangier, M Auli
arXiv preprint arXiv:1806.00187, 2018
1772018
Neural text generation from structured data with application to the biography domain
R Lebret, D Grangier, M Auli
arXiv preprint arXiv:1603.07771, 2016
1682016
Pay less attention with lightweight and dynamic convolutions
F Wu, A Fan, A Baevski, YN Dauphin, M Auli
arXiv preprint arXiv:1901.10430, 2019
1282019
deltableu: A discriminative metric for generation tasks with intrinsically diverse targets
M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ...
arXiv preprint arXiv:1506.06863, 2015
1202015
Strategies for training large vocabulary neural language models
W Chen, D Grangier, M Auli
arXiv preprint arXiv:1512.04906, 2015
1182015
Wizard of wikipedia: Knowledge-powered conversational agents
E Dinan, S Roller, K Shuster, A Fan, M Auli, J Weston
arXiv preprint arXiv:1811.01241, 2018
1002018
Controllable abstractive summarization
A Fan, D Grangier, M Auli
arXiv preprint arXiv:1711.05217, 2017
922017
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
892019
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
872017
Adaptive input representations for neural language modeling
A Baevski, M Auli
arXiv preprint arXiv:1809.10853, 2018
792018
Analyzing uncertainty in neural machine translation
M Ott, M Auli, D Grangier, MA Ranzato
arXiv preprint arXiv:1803.00047, 2018
602018
The system can't perform the operation now. Try again later.
Articles 1–20