| Learning deep representations by mutual information estimation and maximization RD Hjelm, A Fedorov, S Lavoie-Marchildon, K Grewal, A Trischler, ... ICLR 2019, 2018 | 3273 | 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 | 984 | 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 | 781 | 2018 |
| Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning S Subramanian, A Trischler, Y Bengio, CJ Pal ICLR 2018, 2018 | 425 | 2018 |
| Alfworld: Aligning text and embodied environments for interactive learning M Shridhar, X Yuan, MA Côté, Y Bisk, A Trischler, M Hausknecht ICLR 2021, 2020 | 372 | 2020 |
| Rapid Adaptation with Conditionally Shifted Neurons T Munkhdalai, X Yuan, S Mehri, T Wang, A Trischler ICML 2018, 2017 | 367 | 2017 |
| 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 | 341 | 2018 |
| 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 | 316 | 2017 |
| Boundary-seeking generative adversarial networks RD Hjelm, AP Jacob, T Che, A Trischler, K Cho, Y Bengio ICLR 2018, 2017 | 235 | 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 | 226 | 2017 |
| Learning algorithms for active learning P Bachman, A Sordoni, A Trischler international conference on machine learning, 301-310, 2017 | 209 | 2017 |
| Exploring and predicting transferability across nlp tasks T Vu, T Wang, T Munkhdalai, A Sordoni, A Trischler, A Mattarella-Micke, ... EMNLP 2020, 2020 | 174 | 2020 |
| One size does not fit all: Generating and evaluating variable number of keyphrases X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler arXiv preprint arXiv:1810.05241, 2018 | 149* | 2018 |
| 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 | 142 | 2017 |
| Iterative alternating neural attention for machine reading A Sordoni, P Bachman, A Trischler, Y Bengio arXiv preprint arXiv:1606.02245, 2016 | 128 | 2016 |
| A joint model for question answering and question generation T Wang, X Yuan, A Trischler arXiv preprint arXiv:1706.01450, 2017 | 125 | 2017 |
| Learning dynamic knowledge graphs to generalize on text-based games A Adhikari, X Yuan, MA Côté, M Zelinka, MA Rondeau, R Laroche, ... NeurIPS 2020, 2020 | 118* | 2020 |
| Natural language comprehension with the epireader A Trischler, Z Ye, X Yuan, K Suleman EMNLP 2016, 2016 | 107 | 2016 |
| Synthesis of recurrent neural networks for dynamical system simulation AP Trischler, GMT D’Eleuterio Neural Networks 80, 67-78, 2016 | 94 | 2016 |
| Building Dynamic Knowledge Graphs from Text using Machine Reading Comprehension R Das, T Munkhdalai, X Yuan, A Trischler, A McCallum ICLR 2019, 2018 | 91 | 2018 |
Xingdi YuanMicrosoft Research, Montreal確認したメール アドレス: microsoft.com
