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COVID-19 Deterioration Prediction via Self-Supervised Representation Learning and Multi-Image Prediction
The rapid spread of COVID-19 cases in recent months has strained hospital resources, making rapid and accurate triage of patients …
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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NeurIPS 2019 Reproducibility Challenge
Koustuv Sinha, Joelle Pineau, Jessica Forde, Rosemary Nan Ke, Hugo Larochelle
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Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)
One of the challenges in machine learning research is to ensure that presented and published results are sound and reliable. …
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily Fox, Hugo Larochelle
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ICLR Reproducibility Challenge 2019
Joelle Pineau, Koustuv Sinha, Genevieve Fried, Rosemary Nan Ke, Hugo Larochelle
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The RLLChatbot: a solution to the ConvAI Challenge
Current conversational systems can follow simple commands and answer basic questions, but they have difficulty maintaining coherent and …
Nicolas A. Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
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