| Learning deep representations by mutual information estimation and maximization RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, A Trischler, ... ICLR 2019, 2018 | 355 | 2018 |
| Newsqa: A machine comprehension dataset A Trischler, T Wang, X Yuan, J Harris, A Sordoni, P Bachman, K Suleman Proceedings of the 2nd Workshop on Representation Learning for NLP at ACL, 2016 | 304 | 2016 |
| Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning S Subramanian, A Trischler, Y Bengio, CJ Pal ICLR 2018, 2018 | 186 | 2018 |
| Boundary-seeking generative adversarial networks RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio ICLR 2018, 2017 | 107 | 2017 |
| Iterative alternating neural attention for machine reading A Sordoni, P Bachman, A Trischler, Y Bengio arXiv preprint arXiv:1606.02245, 2016 | 99 | 2016 |
| Rapid Adaptation with Conditionally Shifted Neurons T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler ICML 2018, 2017 | 91 | 2017 |
| 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 | 89 | 2017 |
| Learning algorithms for active learning P Bachman, A Sordoni, A Trischler arXiv preprint arXiv:1708.00088, 2017 | 81 | 2017 |
| Natural language comprehension with the epireader A Trischler, Z Ye, X Yuan, K Suleman EMNLP 2016, 2016 | 80 | 2016 |
| A joint model for question answering and question generation T Wang, X Yuan, A Trischler arXiv preprint arXiv:1706.01450, 2017 | 55 | 2017 |
| Figureqa: An annotated figure dataset for visual reasoning SE Kahou, V Michalski, A Atkinson, Á Kádár, A Trischler, Y Bengio Montreal AI Symposium 2017, 2017 | 48 | 2017 |
| Neural models for key phrase detection and question generation S Subramanian, T Wang, X Yuan, S Zhang, Y Bengio, A Trischler arXiv preprint arXiv:1706.04560, 2017 | 47 | 2017 |
| Twin Networks: Matching the future for sequence generation D Serdyuk, NR Ke, A Sordoni, A Trischler, C Pal, Y Bengio ICLR 2018, 2017 | 45* | 2017 |
| Synthesis of recurrent neural networks for dynamical system simulation AP Trischler, GMT D’Eleuterio Neural Networks 80, 67-78, 2016 | 44 | 2016 |
| An empirical study of example forgetting during deep neural network learning M Toneva, A Sordoni, RT Combes, A Trischler, Y Bengio, GJ Gordon ICLR 2019, 2018 | 42 | 2018 |
| Textworld: A learning environment for text-based games MA Côté, A Kádár, X Yuan, B Kybartas, T Barnes, E Fine, J Moore, ... IJCAI Workshop on Computer Games, 2018, 2018 | 39* | 2018 |
| A parallel-hierarchical model for machine comprehension on sparse data A Trischler, Z Ye, X Yuan, J He, P Bachman, K Suleman ACL 2016, 2016 | 38 | 2016 |
| Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension R Das, T Munkhdalai, X Yuan, A Trischler, A McCallum ICLR 2019, 2018 | 31 | 2018 |
| A Knowledge Hunting Framework for Common Sense Reasoning A Emami, N De La Cruz, A Trischler, K Suleman, JCK Cheung EMNLP 2018, 2018 | 26* | 2018 |
| Variational bi-lstms S Shabanian, D Arpit, A Trischler, Y Bengio arXiv preprint arXiv:1711.05717, 2017 | 22 | 2017 |
Xingdi YuanMicrosoft Research, MontrealVerified email at microsoft.com
