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Evaluating Gender Bias in Natural Language Inference


May 12, 2021
Shanya Sharma, Manan Dey, Koustuv Sinha

* NeurIPS 2020 Workshop on Dataset Curation and Security 

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Sometimes We Want Translationese


Apr 15, 2021
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


Apr 14, 2021
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


Jan 25, 2021
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


Jan 13, 2021
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


Dec 30, 2020
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams

* 10 pages + appendix 

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Measuring Systematic Generalization in Neural Proof Generation with Transformers


Oct 20, 2020
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


Oct 06, 2020
Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael Rabbat

* Under review 

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Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop


Jul 21, 2020
Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe


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Probing Linguistic Systematicity


May 08, 2020
Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell

* To appear at ACL2020, 9 pages, 2 figures 

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Learning an Unreferenced Metric for Online Dialogue Evaluation


May 01, 2020
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau

* Accepted at ACL 2020, 5 pages 

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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)


Apr 02, 2020
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle


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Evaluating Logical Generalization in Graph Neural Networks


Mar 14, 2020
Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton


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CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text


Sep 04, 2019
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

* Accepted at EMNLP 2019, 9 page content + Appendix 

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The RLLChatbot: a solution to the ConvAI challenge


Nov 08, 2018
Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau

* 46 pages including references and appendix, 14 figures, 12 tables; Under review for the Dialogue & Discourse journal 

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Compositional Language Understanding with Text-based Relational Reasoning


Nov 08, 2018
Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau

* 4 pages of main content, to be presented at Relational Representation Learning Workshop, NIPS 2018, Montreal 

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Adversarial Gain


Nov 04, 2018
Peter Henderson, Koustuv Sinha, Rosemary Nan Ke, Joelle Pineau


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Ethical Challenges in Data-Driven Dialogue Systems


Nov 24, 2017
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau

* In Submission to the AAAI/ACM conference on Artificial Intelligence, Ethics, and Society 

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