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How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts



Shanya Sharma , Manan Dey , Koustuv Sinha

* 14 pages, 3 figures 

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Evaluating Gender Bias in Natural Language Inference



Shanya Sharma , Manan Dey , Koustuv Sinha

* NeurIPS 2020 Workshop on Dataset Curation and Security 

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Sometimes We Want Translationese



Prasanna Parthasarathi , Koustuv Sinha , Joelle Pineau , Adina Williams

* 16 pages, 11 figures and 3 tables 

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Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little



Koustuv Sinha , Robin Jia , Dieuwke Hupkes , Joelle Pineau , Adina Williams , Douwe Kiela

* 12 pages + Appendix 

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COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction



Anuroop Sriram , Matthew Muckley , Koustuv Sinha , Farah Shamout , Joelle Pineau , Krzysztof J. Geras , Lea Azour , Yindalon Aphinyanaphongs , Nafissa Yakubova , William Moore


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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction



Anuroop Sriram , Matthew Muckley , Koustuv Sinha , Farah Shamout , Joelle Pineau , Krzysztof J. Geras , Lea Azour , Yindalon Aphinyanaphongs , Nafissa Yakubova , William Moore


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Unnatural Language Inference



Koustuv Sinha , Prasanna Parthasarathi , Joelle Pineau , Adina Williams

* 10 pages + appendix 

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Measuring Systematic Generalization in Neural Proof Generation with Transformers



Nicolas Gontier , Koustuv Sinha , Siva Reddy , Christopher Pal

* NeurIPS 2020; 17 pages; 9 figures; 6 tables 

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A Closer Look at Codistillation for Distributed Training



Shagun Sodhani , Olivier Delalleau , Mahmoud Assran , Koustuv Sinha , Nicolas Ballas , Michael Rabbat

* Under review 

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