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High-Resource Methodological Bias in Low-Resource Investigations


Nov 14, 2022
Maartje ter Hoeve, David Grangier, Natalie Schluter

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AudioLM: a Language Modeling Approach to Audio Generation


Sep 07, 2022
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, Neil Zeghidour

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Learning strides in convolutional neural networks


Feb 03, 2022
Rachid Riad, Olivier Teboul, David Grangier, Neil Zeghidour

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* Spotlight at ICLR2022, open-source code available at https://github.com/google-research/diffstride 

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Minimum Bayes Risk Decoding with Neural Metrics of Translation Quality


Dec 02, 2021
Markus Freitag, David Grangier, Qijun Tan, Bowen Liang

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The Trade-offs of Domain Adaptation for Neural Language Models


Sep 21, 2021
Dan Iter, David Grangier

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On the Complementarity of Data Selection and Fine Tuning for Domain Adaptation


Sep 15, 2021
Dan Iter, David Grangier

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Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral


Aug 25, 2021
Lucio M. Dery, Yann Dauphin, David Grangier

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* 15 pages, 3 figures, Accepted to International Conference on Learning Representations (ICLR) 2021 See https://github.com/ldery/ATTITTUD}{https://github.com/ldery/ATTITTUD for associated code 

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What Can Unsupervised Machine Translation Contribute to High-Resource Language Pairs?


Jun 30, 2021
Kelly Marchisio, Markus Freitag, David Grangier

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DIVE: End-to-end Speech Diarization via Iterative Speaker Embedding


May 28, 2021
Neil Zeghidour, Olivier Teboul, David Grangier

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