| Building end-to-end dialogue systems using generative hierarchical neural network models I Serban, A Sordoni, Y Bengio, A Courville, J Pineau Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 2145 | 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 | 1199 | 2017 |
| A neural network approach to context-sensitive generation of conversational responses A Sordoni, M Galley, M Auli, C Brockett, Y Ji, M Mitchell, JY Nie, J Gao, ... arXiv preprint arXiv:1506.06714, 2015 | 1094 | 2015 |
| Newsqa: A machine comprehension dataset A Trischler, T Wang, X Yuan, J Harris, A Sordoni, P Bachman, K Suleman arXiv preprint arXiv:1611.09830, 2016 | 835 | 2016 |
| A hierarchical recurrent encoder-decoder for generative context-aware query suggestion A Sordoni, Y Bengio, H Vahabi, C Lioma, J Grue Simonsen, JY Nie proceedings of the 24th ACM international on conference on information and …, 2015 | 572 | 2015 |
| An Empirical Study of Example Forgetting during Deep Neural Network Learning M Toneva, A Sordoni, R Tachet, A Trischler, Y Bengio, G Gordon International Conference on Learning Representations, 2019 | 480 | 2019 |
| Augmented cyclegan: Learning many-to-many mappings from unpaired data A Almahairi, S Rajeshwar, A Sordoni, P Bachman, A Courville International conference on machine learning, 195-204, 2018 | 457 | 2018 |
| Ordered neurons: Integrating tree structures into recurrent neural networks Y Shen, S Tan, A Sordoni, A Courville arXiv preprint arXiv:1810.09536, 2018 | 351 | 2018 |
| Machine comprehension by text-to-text neural question generation X Yuan, T Wang, C Gulcehre, A Sordoni, P Bachman, S Subramanian, ... arXiv preprint arXiv:1705.02012, 2017 | 201 | 2017 |
| Z-forcing: Training stochastic recurrent networks AG ALIAS PARTH GOYAL, A Sordoni, MA Côté, NR Ke, Y Bengio Advances in neural information processing systems 30, 2017 | 198 | 2017 |
| Learning algorithms for active learning P Bachman, A Sordoni, A Trischler international conference on machine learning, 301-310, 2017 | 193 | 2017 |
| deltaBLEU: A discriminative metric for generation tasks with intrinsically diverse targets M Galley, C Brockett, A Sordoni, Y Ji, M Auli, C Quirk, M Mitchell, J Gao, ... arXiv preprint arXiv:1506.06863, 2015 | 184 | 2015 |
| Modeling term dependencies with quantum language models for ir A Sordoni, JY Nie, Y Bengio Proceedings of the 36th international ACM SIGIR conference on Research and …, 2013 | 125 | 2013 |
| Iterative alternating neural attention for machine reading A Sordoni, P Bachman, A Trischler, Y Bengio arXiv preprint arXiv:1606.02245, 2016 | 122 | 2016 |
| Exploring and predicting transferability across NLP tasks T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ... arXiv preprint arXiv:2005.00770, 2020 | 118 | 2020 |
| Natural language comprehension with the epireader A Trischler, Z Ye, X Yuan, K Suleman arXiv preprint arXiv:1606.02270, 2016 | 104 | 2016 |
| Straight to the tree: Constituency parsing with neural syntactic distance Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio arXiv preprint arXiv:1806.04168, 2018 | 85 | 2018 |
| Twin networks: Matching the future for sequence generation D Serdyuk, NR Ke, A Sordoni, A Trischler, C Pal, Y Bengio arXiv preprint arXiv:1708.06742, 2017 | 72* | 2017 |
| Increasing Robustness to Spurious Correlations using Forgettable Examples Y Yaghoobzadeh, R Tachet, TJ Hazen, A Sordoni arXiv preprint arXiv:1911.03861, 2019 | 61* | 2019 |
| Understanding by understanding not: Modeling negation in language models A Hosseini, S Reddy, D Bahdanau, RD Hjelm, A Sordoni, A Courville arXiv preprint arXiv:2105.03519, 2021 | 58 | 2021 |
