Publication Adversarial score matching and improved sampling for image generation Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Remi Tachet des Combes, Ioannis Mitliagkas September 2020 September 2020
Publication Implicit Regularization in Deep Learning: A View from Function Space Aristide Baratin, Thomas George, César Laurent, Devon Hjelm, Guillaume Lajoie, Pascal Vincent, Simon Lacoste-Julien August 2020 ArXiv preprint | August 2020
Publication Semantic Product Search for Matching Structured Product Catalogs in E-Commerce Jason Ingyu Choi, Surya Kallumadi, Bhaskar Mitra, Eugene Agichtein, Faizan Javed August 2020
Publication When Are Search Completion Suggestions Problematic? Alexandra Olteanu, Fernando Diaz, Gabriella Kazai Computer Supported Collaborative Work and Social Computing (CSCW) | August 2020 CSCW 2020 Honorable Mention CSCW 2020 Honorable Mention Video
Publication Operationalizing the Legal Principle of Data Minimization for Personalization Asia J. Biega, Peter Potash, Hal Daumé III, Fernando Diaz, Michèle Finck SIGIR 2020 | July 2020
Publication Representation Learning with Video Deep InfoMax Devon Hjelm, Philip Bachman July 2020 ArXiv e-print | July 2020
Publication Data-Efficient Reinforcement Learning with Momentum Predictive Representations Max Schwarzer, Ankesh Anand, Rishab Goel, Devon Hjelm, Aaron Courville, Philip Bachman July 2020 ArXiv | July 2020
Publication Conformer-Kernel with Query Term Independence for Document Retrieval Bhaskar Mitra, Sebastian Hofstätter, Hamed Zamani, Nick Craswell July 2020 Github
Publication On the Social and Technical Challenges of Web Search Autosuggestion Moderation T. J. Hazen, Alexandra Olteanu, Gabriella Kazai, Fernando Diaz, Michael Golebiewski July 2020
Publication Evaluating Stochastic Rankings with Expected Exposure Fernando Diaz, Bhaskar Mitra, Michael D. Ekstrand, Asia J. Biega, Ben Carterette Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM) | July 2020 Best Long Research Paper Nominee