2021-12 Continual Learning via Local Module Composition
Pretraining Representations for Data-Efficient Reinforcement Learning
2021-08 Sequoia: A Software Framework to Unify Continual Learning Research
Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau RodrĂguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, TimothĂ©e Lesort,
Laurent Charlin ,
Irina Rish and Massimo Caccia
2021-06 A Comparative Study of Learning Outcomes for Online Learning Platforms
François St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova,
Laurent Charlin ,
Yoshua Bengio , Iulian Vlad Serban and Ekaterina Kochmar
2021-05 Beyond Trivial Counterfactual Generations with Diverse Valuable Explanations
Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji,
Laurent Charlin and David Vazquez
2021-04 IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
Comparative Study of Learning Outcomes for Online Learning Platforms
Francois St-Hilaire, Nathan Burns, Robert Belfer, Muhammad Shayan, Ariella Smofsky, Dung Do Vu, Antoine Frau, Joseph Potochny, Farid Faraji, Vincent Pavero, Neroli Ko, Ansona Onyi Ching, Sabina Elkins, Anush Stepanyan, Adela Matajova,
Laurent Charlin ,
Yoshua Bengio , Iulian Vlad Serban and Ekaterina Kochmar
IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control
2021-03 Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Pau Rodriguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam Laradji,
Laurent Charlin and David Vazquez
Pretraining Reward-Free Representations for Data-Efficient Reinforcement Learning
2020-11 Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
2020-09 Causal Inference for Recommender Systems
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste, Pau RodrĂguez LĂłpez, Frederic Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Hadj Laradji, Alexandre Drouin, Matthew Craddock,
Laurent Charlin and David Vázquez
Synbols: Probing Learning Algorithms with Synthetic Datasets
Alexandre Lacoste, Pau RodrĂguez, FrĂ©dĂ©ric Branchaud-Charron, Parmida Atighehchian, Massimo Caccia, Issam Laradji, Alexandre Drouin, Matt Craddock,
Laurent Charlin and David Vázquez
On the Effectiveness of Two-Step Learning for Latent-Variable Models
2020-07 A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM
2020-04 Language GANs Falling Short
Predictive inference for travel time on transportation networks
Prediction intervals for travel time on transportation networks
Inference for travel time on transportation networks
2020-03 Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji,
Irina Rish , Alexandre Lacoste, David Vazquez and
Laurent Charlin
2020-01 Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji,
Irina Rish , Alexandre Lacoste, David Vázquez and
Laurent Charlin
2019-09 Exact Combinatorial Optimization with Graph Convolutional Neural Networks
2019-08 Online Continual Learning with Maximally Interfered Retrieval
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin,
Laurent Charlin and Tinne Tuytelaars
2019-06 Continual Learning of New Sound Classes Using Generative Replay
2019-01 Session-Based Social Recommendation via Dynamic Graph Attention Networks
Weiping Song, Zhiping Xiao, Yifan Wang,
Laurent Charlin , Ming Zhang and Jian Tang
Online Continual Learning with Maximal Interfered Retrieval
Rahaf Aljundi, Eugene Belilovsky, Tinne Tuytelaars,
Laurent Charlin , Massimo Caccia, Min Lin and Lucas Page-Caccia
2018-11 Towards Deep Conversational Recommendations
2018-07 Focused Hierarchical RNNs for Conditional Sequence Processing
2018-06 A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version
2018-02 Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks
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