| Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Y Shen, S Tan, A Sordoni, A Courville ICLR 2019, 2019 | 319 | 2019 |
| Long range arena: A benchmark for efficient transformers Y Tay, M Dehghani, S Abnar, Y Shen, D Bahri, P Pham, J Rao, L Yang, ... ICLR 2021, 2020 | 275 | 2020 |
| Banditsum: Extractive summarization as a contextual bandit Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung EMNLP 2018, 2018 | 182 | 2018 |
| Neural language modeling by jointly learning syntax and lexicon Y Shen, Z Lin, CW Huang, A Courville ICLR 2018, 2017 | 165 | 2017 |
| Straight to the tree: Constituency parsing with neural syntactic distance Y Shen, Z Lin, AP Jacob, A Sordoni, A Courville, Y Bengio ACL 2018, 2018 | 83 | 2018 |
| Question/answer matching for CQA system via combining lexical and sequential information Y Shen, W Rong, Z Sun, Y Ouyang, Z Xiong AAAI 2015, 2015 | 67 | 2015 |
| Convolutional neural network based sentiment analysis using Adaboost combination Y Gao, W Rong, Y Shen, Z Xiong 2016 International Joint Conference on Neural Networks (IJCNN), 1333-1338, 2016 | 53 | 2016 |
| Word embedding based correlation model for question/answer matching Y Shen, W Rong, N Jiang, B Peng, J Tang, Z Xiong AAAI 2017 31 (1), 2017 | 52 | 2017 |
| Structformer: Joint unsupervised induction of dependency and constituency structure from masked language modeling Y Shen, Y Tay, C Zheng, D Bahri, D Metzler, A Courville ACL 2021, 2020 | 26 | 2020 |
| Prompting decision transformer for few-shot policy generalization M Xu, Y Shen, S Zhang, Y Lu, D Zhao, J Tenenbaum, C Gan International Conference on Machine Learning, 24631-24645, 2022 | 25 | 2022 |
| Ordered memory Y Shen, S Tan, A Hosseini, Z Lin, A Sordoni, A Courville NeurIPS 2019, 2019 | 17 | 2019 |
| Exploiting syntactic structure for better language modeling: A syntactic distance approach W Du, Z Lin, Y Shen, TJ O'Donnell, Y Bengio, Y Zhang ACL 2020, 2020 | 15 | 2020 |
| Learning Task Decomposition with Ordered Memory Policy Network Y Lu, Y Shen, S Zhou, A Courville, JB Tenenbaum, C Gan International Conference on Learning Representations, 2021 | 14 | 2021 |
| Self-organized hierarchical softmax Y Shen, S Tan, C Pal, A Courville arXiv preprint arXiv:1707.08588, 2017 | 8 | 2017 |
| Investigating biases in textual entailment datasets S Tan, Y Shen, C Huang, A Courville arXiv preprint arXiv:1906.09635, 2019 | 7 | 2019 |
| Planning with large language models for code generation S Zhang, Z Chen, Y Shen, M Ding, JB Tenenbaum, C Gan arXiv preprint arXiv:2303.05510, 2023 | 5 | 2023 |
| Explicitly Modeling Syntax in Language Models with Incremental Parsing and a Dynamic Oracle Y Shen, S Tan, A Sordoni, S Reddy, A Courville NAACL 2021, 1660-1672, 2021 | 5 | 2021 |
| Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models. N Jiang, W Rong, M Gao, Y Shen, Z Xiong, N Jiang, W Rong, M Gao, ... IJCAI, 1951-1957, 2017 | 5 | 2017 |
| Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision Z Sun, Y Shen, Q Zhou, H Zhang, Z Chen, D Cox, Y Yang, C Gan arXiv preprint arXiv:2305.03047, 2023 | 4 | 2023 |
| Unsupervised Dependency Graph Network Y Shen, S Tan, A Sordoni, P Li, J Zhou, A Courville Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022 | 4 | 2022 |
Aaron CourvilleAssociate Professor, DIRO, Université de Montréal, Mila, Cifar CAI chairVerified email at umontreal.ca
