Laurent Charlin
Laurent Charlin
Assistant Professor, HEC Montréal & Mila, Canada CIFAR AI Chair
Verified email at hec.ca - Homepage
TitleCited byYear
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
3812016
A hierarchical latent variable encoder-decoder model for generating dialogues
IV Serban, A Sordoni, R Lowe, L Charlin, J Pineau, A Courville, Y Bengio
Thirty-First AAAI Conference on Artificial Intelligence, 2017
3622017
Content-based recommendations with Poisson factorization
PK Gopalan, L Charlin, D Blei
Advances in Neural Information Processing Systems, 3176-3184, 2014
1242014
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
1142016
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
1102015
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
972016
Deep exponential families
R Ranganath, L Tang, L Charlin, D Blei
Artificial Intelligence and Statistics, 762-771, 2015
972015
Hierarchical POMDP Controller Optimization by Likelihood Maximization.
M Toussaint, L Charlin, P Poupart
UAI 24, 562-570, 2008
792008
Dynamic poisson factorization
L Charlin, R Ranganath, J McInerney, DM Blei
Proceedings of the 9th ACM Conference on Recommender Systems, 155-162, 2015
662015
Training end-to-end dialogue systems with the ubuntu dialogue corpus
RT Lowe, N Pow, IV Serban, L Charlin, CW Liu, J Pineau
Dialogue & Discourse 8 (1), 31-65, 2017
572017
The Toronto paper matching system: an automated paper-reviewer assignment system
L Charlin, R Zemel
382013
Stochastic k-Neighborhood Selection for Supervised and Unsupervised Learning
D Tarlow, K Swersky, L Charlin, I Sutskever, RS Zemel
International Conference on Machine Learning, 2013
362013
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
322016
Automated hierarchy discovery for planning in partially observable environments
L Charlin, P Poupart, R Shioda
Advances in Neural Information Processing Systems, 225-232, 2007
312007
A Framework for Optimizing Paper Matching
L Charlin, R Zemel, C Boutilier
UAI, 2011
282011
Generative deep neural networks for dialogue: A short review
IV Serban, R Lowe, L Charlin, J Pineau
arXiv preprint arXiv:1611.06216, 2016
262016
A survey of available corpora for building data-driven dialogue systems: The journal version
IV Serban, R Lowe, P Henderson, L Charlin, J Pineau
Dialogue & Discourse 9 (1), 1-49, 2018
252018
Language GANs falling short
M Caccia, L Caccia, W Fedus, H Larochelle, J Pineau, L Charlin
arXiv preprint arXiv:1811.02549, 2018
222018
Incorporating unstructured textual knowledge sources into neural dialogue systems
R Lowe, N Pow, I Serban, L Charlin, J Pineau
Neural information processing systems workshop on machine learning for …, 2015
172015
Focused hierarchical rnns for conditional sequence processing
NR Ke, K Zolna, A Sordoni, Z Lin, A Trischler, Y Bengio, J Pineau, ...
arXiv preprint arXiv:1806.04342, 2018
122018
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