| Building end-to-end dialogue systems using generative hierarchical neural network models IV Serban, A Sordoni, Y Bengio, A Courville, J Pineau Thirtieth AAAI Conference on Artificial Intelligence, 2016 | 753* | 2016 |
| Theano: A Python framework for fast computation of mathematical expressions R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ... arXiv preprint arXiv:1605.02688, 2016 | 513 | 2016 |
| 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 | 350 | 2016 |
| 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 | 320 | 2017 |
| The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems R Lowe, N Pow, I Serban, J Pineau arXiv preprint arXiv:1506.08909, 2015 | 309 | 2015 |
| Generating factoid questions with recurrent neural networks: The 30m factoid question-answer corpus IV Serban, A García-Durán, C Gulcehre, S Ahn, S Chandar, A Courville, ... arXiv preprint arXiv:1603.06807, 2016 | 106 | 2016 |
| 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 | 100 | 2015 |
| Multiresolution recurrent neural networks: An application to dialogue response generation IV Serban, T Klinger, G Tesauro, K Talamadupula, B Zhou, Y Bengio, ... Thirty-First AAAI Conference on Artificial Intelligence, 2017 | 90 | 2017 |
| A deep reinforcement learning chatbot IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1709.02349, 2017 | 77 | 2017 |
| Towards an automatic turing test: Learning to evaluate dialogue responses R Lowe, M Noseworthy, IV Serban, N Angelard-Gontier, Y Bengio, ... arXiv preprint arXiv:1708.07149, 2017 | 74 | 2017 |
| 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 | 54 | 2017 |
| 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 | 30 | 2016 |
| Piecewise latent variables for neural variational text processing IV Serban, II Ororbia, G Alexander, J Pineau, A Courville arXiv preprint arXiv:1612.00377, 2016 | 27* | 2016 |
| Generative deep neural networks for dialogue: A short review IV Serban, R Lowe, L Charlin, J Pineau arXiv preprint arXiv:1611.06216, 2016 | 26 | 2016 |
| 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 | 18 | 2018 |
| 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 | 17 | 2015 |
| The second conversational intelligence challenge (convai2) E Dinan, V Logacheva, V Malykh, A Miller, K Shuster, J Urbanek, D Kiela, ... arXiv preprint arXiv:1902.00098, 2019 | 11 | 2019 |
| The bottleneck simulator: a model-based deep reinforcement learning approach IV Serban, C Sankar, M Pieper, J Pineau, Y Bengio arXiv preprint arXiv:1807.04723, 2018 | 8 | 2018 |
| A deep reinforcement learning chatbot (Short Version) IV Serban, C Sankar, M Germain, S Zhang, Z Lin, S Subramanian, T Kim, ... arXiv preprint arXiv:1801.06700, 2018 | 5 | 2018 |
| Text-based speaker identification for multi-participant open-domain dialogue systems IV Serban, J Pineau NIPS Workshop on Machine Learning for Spoken Language Understanding …, 2015 | 5 | 2015 |
Joelle PineauSchool of Computer Science, McGill UniversityVerified email at cs.mcgill.ca