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Laurent Charlin

University of Toronto

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM

May 06, 2020
Iulian Vlad Serban, Varun Gupta, Ekaterina Kochmar, Dung D. Vu, Robert Belfer, Joelle Pineau, Aaron Courville, Laurent Charlin, Yoshua Bengio

* 6 pages, 1 figure, 1 table, accepted for publication in the 21st International Conference on Artificial Intelligence in Education (AIED 2020) 

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IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

Mar 19, 2020
François-Xavier Devailly, Denis Larocque, Laurent Charlin

* 11 pages, 9 figures, 1 table 

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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Mar 12, 2020
Massimo Caccia, Pau Rodriguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam Laradji, Irina Rish, Alexande Lacoste, David Vazquez, Laurent Charlin

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Online Continual Learning with Maximally Interfered Retrieval

Aug 23, 2019
Rahaf Aljundi, Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Min Lin, Laurent Charlin, Tinne Tuytelaars

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Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Jun 07, 2019
Maxime Gasse, Didier Chételat, Nicola Ferroni, Laurent Charlin, Andrea Lodi

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Continual Learning of New Sound Classes using Generative Replay

Jun 03, 2019
Zhepei Wang, Cem Subakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin

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Towards Deep Conversational Recommendations

Dec 18, 2018
Raymond Li, Samira Kahou, Hannes Schulz, Vincent Michalski, Laurent Charlin, Chris Pal

* 17 pages, 5 figures, Accepted at 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montr\'eal, Canada 

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Language GANs Falling Short

Nov 08, 2018
Massimo Caccia, Lucas Caccia, William Fedus, Hugo Larochelle, Joelle Pineau, Laurent Charlin

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The Deconfounded Recommender: A Causal Inference Approach to Recommendation

Aug 20, 2018
Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei

* 14 pages, 3 figures 

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Focused Hierarchical RNNs for Conditional Sequence Processing

Jun 12, 2018
Nan Rosemary Ke, Konrad Zolna, Alessandro Sordoni, Zhouhan Lin, Adam Trischler, Yoshua Bengio, Joelle Pineau, Laurent Charlin, Chris Pal

* To appear at ICML 2018 

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Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks

Nov 07, 2017
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Laurent Charlin, Chris Pal, Yoshua Bengio

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Learnable Explicit Density for Continuous Latent Space and Variational Inference

Oct 06, 2017
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville

* 2 figures, 5 pages, submitted to ICML Principled Approaches to Deep Learning workshop 

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A Survey of Available Corpora for Building Data-Driven Dialogue Systems

Mar 21, 2017
Iulian Vlad Serban, Ryan Lowe, Peter Henderson, Laurent Charlin, Joelle Pineau

* 56 pages including references and appendix, 5 tables and 1 figure; Under review for the Dialogue & Discourse journal. Update: paper has been rewritten and now includes several new datasets 

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How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Jan 03, 2017
Chia-Wei Liu, Ryan Lowe, Iulian V. Serban, Michael Noseworthy, Laurent Charlin, Joelle Pineau

* First 4 authors had equal contribution. 13 pages, 5 tables, 6 figures. EMNLP 2016 

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Generative Deep Neural Networks for Dialogue: A Short Review

Nov 18, 2016
Iulian Vlad Serban, Ryan Lowe, Laurent Charlin, Joelle Pineau

* 6 pages, 1 figure, 3 tables; NIPS 2016 workshop on Learning Methods for Dialogue 

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On the Evaluation of Dialogue Systems with Next Utterance Classification

Jul 23, 2016
Ryan Lowe, Iulian V. Serban, Mike Noseworthy, Laurent Charlin, Joelle Pineau

* Accepted to SIGDIAL 2016 (short paper). 5 pages 

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A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Jun 14, 2016
Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, Yoshua Bengio

* 15 pages, 5 tables, 4 figures 

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Modeling User Exposure in Recommendation

Feb 04, 2016
Dawen Liang, Laurent Charlin, James McInerney, David M. Blei

* 11 pages, 4 figures. WWW'16 

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Dynamic Poisson Factorization

Sep 15, 2015
Laurent Charlin, Rajesh Ranganath, James McInerney, David M. Blei

* RecSys 2015 

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Deep Exponential Families

Nov 10, 2014
Rajesh Ranganath, Linpeng Tang, Laurent Charlin, David M. Blei

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Active Learning for Matching Problems

Jun 18, 2012
Laurent Charlin, Rich Zemel, Craig Boutilier

* ICML2012 

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Hierarchical POMDP Controller Optimization by Likelihood Maximization

Jun 13, 2012
Marc Toussaint, Laurent Charlin, Pascal Poupart

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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A Framework for Optimizing Paper Matching

Feb 14, 2012
Laurent Charlin, Richard S. Zemel, Craig Boutilier

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