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Michael Auli
Michael Auli
Facebook AI Research
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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
32832017
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
20172019
Language modeling with gated convolutional networks
YN Dauphin, A Fan, M Auli, D Grangier
International conference on machine learning, 933-941, 2017
18642017
wav2vec 2.0: A framework for self-supervised learning of speech representations
A Baevski, Y Zhou, A Mohamed, M Auli
Advances in neural information processing systems 33, 12449-12460, 2020
17302020
Sequence level training with recurrent neural networks
MA Ranzato, S Chopra, M Auli, W Zaremba
arXiv preprint arXiv:1511.06732, 2015
15072015
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
10072015
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
9842016
Understanding back-translation at scale
S Edunov, M Ott, M Auli, D Grangier
arXiv preprint arXiv:1808.09381, 2018
9302018
wav2vec: Unsupervised pre-training for speech recognition
S Schneider, A Baevski, R Collobert, M Auli
arXiv preprint arXiv:1904.05862, 2019
8232019
Analyzing uncertainty in neural machine translation
M Ott, M Auli, D Grangier, MA Ranzato
International Conference on Machine Learning, 3956-3965, 2018
7062018
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
6902019
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
5902018
Pay less attention with lightweight and dynamic convolutions
F Wu, A Fan, A Baevski, YN Dauphin, M Auli
arXiv preprint arXiv:1901.10430, 2019
4902019
A convolutional encoder model for neural machine translation
J Gehring, M Auli, D Grangier, YN Dauphin
arXiv preprint arXiv:1611.02344, 2016
4802016
vq-wav2vec: Self-supervised learning of discrete speech representations
A Baevski, S Schneider, M Auli
arXiv preprint arXiv:1910.05453, 2019
4142019
Neural text generation from structured data with application to the biography domain
R Lebret, D Grangier, M Auli
arXiv preprint arXiv:1603.07771, 2016
4102016
Joint language and translation modeling with recurrent neural networks
M Auli, M Galley, C Quirk, G Zweig
Proc. of EMNLP, 2013
3342013
Unsupervised cross-lingual representation learning for speech recognition
A Conneau, A Baevski, R Collobert, A Mohamed, M Auli
arXiv preprint arXiv:2006.13979, 2020
3002020
Adaptive input representations for neural language modeling
A Baevski, M Auli
arXiv preprint arXiv:1809.10853, 2018
2832018
Beyond english-centric multilingual machine translation
A Fan, S Bhosale, H Schwenk, Z Ma, A El-Kishky, S Goyal, M Baines, ...
The Journal of Machine Learning Research 22 (1), 4839-4886, 2021
2762021
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