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Learning from Heterogeneous EEG Signals with Differentiable Channel Reordering

Oct 21, 2020
Aaqib Saeed, David Grangier, Olivier Pietquin, Neil Zeghidour


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Contrastive Learning of General-Purpose Audio Representations

Oct 21, 2020
Aaqib Saeed, David Grangier, Neil Zeghidour


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Human-Paraphrased References Improve Neural Machine Translation

Oct 20, 2020
Markus Freitag, George Foster, David Grangier, Colin Cherry

* Accepted at WMT 2020 

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Toward Better Storylines with Sentence-Level Language Models

May 11, 2020
Daphne Ippolito, David Grangier, Douglas Eck, Chris Callison-Burch

* ACL 2020 short paper 

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BLEU might be Guilty but References are not Innocent

Apr 13, 2020
Markus Freitag, David Grangier, Isaac Caswell


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Efficient Content-Based Sparse Attention with Routing Transformers

Mar 12, 2020
Aurko Roy, Mohammad Saffar, Ashish Vaswani, David Grangier


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Wavesplit: End-to-End Speech Separation by Speaker Clustering

Feb 20, 2020
Neil Zeghidour, David Grangier


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Translationese as a Language in "Multilingual" NMT

Nov 10, 2019
Parker Riley, Isaac Caswell, Markus Freitag, David Grangier


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ELI5: Long Form Question Answering

Jul 22, 2019
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, Michael Auli


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Tagged Back-Translation

Jun 15, 2019
Isaac Caswell, Ciprian Chelba, David Grangier

* Accepted as oral presentation in WMT 2019; 9 pages; 9 tables; 1 figure 

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Unsupervised Paraphrasing without Translation

May 29, 2019
Aurko Roy, David Grangier

* ACL 2019 

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fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Apr 01, 2019
Myle Ott, Sergey Edunov, Alexei Baevski, Angela Fan, Sam Gross, Nathan Ng, David Grangier, Michael Auli

* NAACL 2019 Demo paper 

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Modeling Human Motion with Quaternion-based Neural Networks

Jan 21, 2019
Dario Pavllo, Christoph Feichtenhofer, Michael Auli, David Grangier

* arXiv admin note: substantial text overlap with arXiv:1805.06485 

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3D human pose estimation in video with temporal convolutions and semi-supervised training

Nov 28, 2018
Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli

* 13 pages 

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Classical Structured Prediction Losses for Sequence to Sequence Learning

Oct 05, 2018
Sergey Edunov, Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

* 10 pages, NAACL 2018 

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Understanding Back-Translation at Scale

Oct 03, 2018
Sergey Edunov, Myle Ott, Michael Auli, David Grangier

* 12 pages; EMNLP 2018 

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Scaling Neural Machine Translation

Sep 04, 2018
Myle Ott, Sergey Edunov, David Grangier, Michael Auli

* WMT 2018 

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Analyzing Uncertainty in Neural Machine Translation

Aug 13, 2018
Myle Ott, Michael Auli, David Grangier, Marc'Aurelio Ranzato

* ICML 2018 

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QuaterNet: A Quaternion-based Recurrent Model for Human Motion

Jul 31, 2018
Dario Pavllo, David Grangier, Michael Auli

* British Machine Vision Conference (BMVC), 2018 

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Controllable Abstractive Summarization

May 18, 2018
Angela Fan, David Grangier, Michael Auli

* ACL2018 Workshop on Neural Machine Translation and Generation (NMT@ACL) 

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Iterative Refinement for Machine Translation

Apr 13, 2018
Roman Novak, Michael Auli, David Grangier

* Presented as a poster at BayLearn 2017 

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QuickEdit: Editing Text & Translations by Crossing Words Out

Mar 28, 2018
David Grangier, Michael Auli

* NAACL'18 

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Language Modeling with Gated Convolutional Networks

Sep 08, 2017
Yann N. Dauphin, Angela Fan, Michael Auli, David Grangier


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Convolutional Sequence to Sequence Learning

Jul 25, 2017
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin


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A Convolutional Encoder Model for Neural Machine Translation

Jul 25, 2017
Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin

* 13 pages 

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Efficient softmax approximation for GPUs

Jun 19, 2017
Edouard Grave, Armand Joulin, Moustapha Cissé, David Grangier, Hervé Jégou

* Accepted to ICML 2017 

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Vocabulary Selection Strategies for Neural Machine Translation

Oct 01, 2016
Gurvan L'Hostis, David Grangier, Michael Auli


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Neural Text Generation from Structured Data with Application to the Biography Domain

Sep 23, 2016
Remi Lebret, David Grangier, Michael Auli

* Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016 

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Interactive Semantic Featuring for Text Classification

Jun 24, 2016
Camille Jandot, Patrice Simard, Max Chickering, David Grangier, Jina Suh

* presented at 2016 ICML Workshop on Human Interpretability in Machine Learning (WHI 2016), New York, NY 

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Predicting distributions with Linearizing Belief Networks

May 02, 2016
Yann N. Dauphin, David Grangier


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