Publication Incorporating Query Term Independence Assumption for Efficient Retrieval and Ranking using Deep Neural Networks Bhaskar Mitra, Corby Rosset, David Hawking, Nick Craswell, Fernando Diaz, Emine Yilmaz July 2019 Project Project
Publication SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation Romain Laroche, Remi Tachet des Combes The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
Publication Multi-batch Reinforcement Learning Romain Laroche, Remi Tachet des Combes The 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM) | July 2019
Publication Metalearned Neural Memory Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, Adam Trischler NeurIPS 2019 | July 2019 Preprint under review
Publication Probing for Semantic Classes: Diagnosing the Meaning Content of Word Embeddings Yadollah Yaghoobzadeh, Katharina Kann, T. J. Hazen, Eneko Agirre, Hinrich Schütze ACL 2019 | June 2019
Publication Learning Representations by Maximizing Mutual Information Across Views Philip Bachman, Devon Hjelm, William Buchwalter June 2019 June 2019 Github
Publication On Learning Invariant Representation for Domain Adaptation Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoff Gordon International Conference on Machine Learning | June 2019
Publication Dead-ends and Secure Exploration in Reinforcement Learning Mehdi Fatemi, Shikhar Sharma, Harm van Seijen, Samira Ebrahimi Kahou Proceedings of the 36th International Conference on Machine Learning (ICML) | June 2019 Spotlight Presentation Github
Publication On the Learning Dynamics of Deep Neural Networks Remi Tachet des Combes ICML – Theoretical Physics for Deep Learning Workshop | June 2019
Publication Safe Policy Improvement with Baseline Bootstrapping Romain Laroche, Paul Trichelair, Remi Tachet des Combes International Conference on Machine Learning (ICML) | June 2019 Project