Laurent Charlin
Laurent Charlin
Associate Professor, HEC Montréal & Mila, Canada CIFAR AI Chair
Verified email at - Homepage
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How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
CW Liu, R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau
arXiv preprint arXiv:1603.08023, 2016
A hierarchical latent variable encoder-decoder model for generating dialogues
I Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
A survey of available corpora for building data-driven dialogue systems
IV Serban, R Lowe, P Henderson, L Charlin, J Pineau
arXiv preprint arXiv:1512.05742, 2015
Factorization meets the item embedding: Regularizing matrix factorization with item co-occurrence
D Liang, J Altosaar, L Charlin, DM Blei
Proceedings of the 10th ACM conference on recommender systems, 59-66, 2016
Modeling user exposure in recommendation
D Liang, L Charlin, J McInerney, DM Blei
Proceedings of the 25th international conference on World Wide Web, 951-961, 2016
Content-based recommendations with poisson factorization
PK Gopalan, L Charlin, D Blei
Advances in neural information processing systems, 3176-3184, 2014
Deep exponential families
R Ranganath, L Tang, L Charlin, D Blei
Artificial Intelligence and Statistics, 762-771, 2015
Session-based Social Recommendation via Dynamic Graph Attention Networks
W Song, Z Xiao, Y Wang, L Charlin, M Zhang, J Tang
Training end-to-end dialogue systems with the ubuntu dialogue corpus
R Lowe, N Pow, IV Serban, L Charlin, CW Liu, J Pineau
Dialogue & Discourse 8 (1), 31-65, 2017
Language GANs falling short
M Caccia, L Caccia, W Fedus, H Larochelle, J Pineau, L Charlin
arXiv preprint arXiv:1811.02549, 2018
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
M Toussaint, L Charlin, P Poupart
UAI 24, 562-570, 2008
Online continual learning with maximally interfered retrieval
R Aljundi, L Caccia, E Belilovsky, M Caccia, M Lin, L Charlin, T Tuytelaars
arXiv preprint arXiv:1908.04742, 2019
Towards deep conversational recommendations
R Li, S Kahou, H Schulz, V Michalski, L Charlin, C Pal
arXiv preprint arXiv:1812.07617, 2018
Dynamic poisson factorization
L Charlin, R Ranganath, J McInerney, DM Blei
Proceedings of the 9th ACM Conference on Recommender Systems, 155-162, 2015
Exact combinatorial optimization with graph convolutional neural networks
M Gasse, D Chételat, N Ferroni, L Charlin, A Lodi
arXiv preprint arXiv:1906.01629, 2019
The Toronto paper matching system: an automated paper-reviewer assignment system
L Charlin, R Zemel
Generative deep neural networks for dialogue: A short review
IV Serban, R Lowe, L Charlin, J Pineau
arXiv preprint arXiv:1611.06216, 2016
On the evaluation of dialogue systems with next utterance classification
R Lowe, IV Serban, M Noseworthy, L Charlin, J Pineau
arXiv preprint arXiv:1605.05414, 2016
A Framework for Optimizing Paper Matching
L Charlin, R Zemel, C Boutilier
UAI, 2011
The deconfounded recommender: A causal inference approach to recommendation
Y Wang, D Liang, L Charlin, DM Blei
arXiv preprint arXiv:1808.06581, 2018
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