| Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Y Shen, S Tan, A Sordoni, A Courville International Conference on Learning Representations (ICLR), 2019, 2019 | 405 | 2019 |
| Improving explorability in variational inference with annealed variational objectives CW Huang, S Tan, A Lacoste, AC Courville Advances in neural information processing systems 31, 2018 | 65 | 2018 |
| Improving the interpretability of deep neural networks with stimulated learning S Tan, KC Sim, M Gales 2015 ieee workshop on automatic speech recognition and understanding (asru …, 2015 | 65 | 2015 |
| Icentia11k: An unsupervised representation learning dataset for arrhythmia subtype discovery S Tan, G Androz, A Chamseddine, P Fecteau, A Courville, Y Bengio, ... arXiv preprint arXiv:1910.09570, 2019 | 34 | 2019 |
| Ordered memory Y Shen, S Tan, A Hosseini, Z Lin, A Sordoni, AC Courville Advances in Neural Information Processing Systems 32, 2019 | 29 | 2019 |
| Learning utterance-level normalisation using Variational Autoencoders for robust automatic speech recognition S Tan, KC Sim Spoken Language Technology Workshop (SLT), 2016 IEEE, 2016 | 25 | 2016 |
| Moduleformer: Learning modular large language models from uncurated data Y Shen, Z Zhang, T Cao, S Tan, Z Chen, C Gan arXiv preprint arXiv:2306.04640, 2023 | 23 | 2023 |
| Towards implicit complexity control using variable-depth deep neural networks for automatic speech recognition S Tan, KC Sim 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 14 | 2016 |
| Sparse universal transformer S Tan, Y Shen, Z Chen, A Courville, C Gan arXiv preprint arXiv:2310.07096, 2023 | 11 | 2023 |
| Scattered Mixture-of-Experts Implementation S Tan, Y Shen, R Panda, A Courville arXiv preprint arXiv:2403.08245, 2024 | 10 | 2024 |
| Explicitly modeling syntax in language models with incremental parsing and a dynamic oracle Y Shen, S Tan, A Sordoni, S Reddy, A Courville arXiv preprint arXiv:2011.07960, 2020 | 9* | 2020 |
| 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 | 8 | 2022 |
| Investigating biases in textual entailment datasets S Tan, Y Shen, C Huang, A Courville arXiv preprint arXiv:1906.09635, 2019 | 8 | 2019 |
| Self-organized hierarchical softmax Y Shen, S Tan, C Pal, A Courville arXiv preprint arXiv:1707.08588, 2017 | 8 | 2017 |
| Learning to dequantise with truncated flows S Tan, CW Huang, A Sordoni, A Courville International Conference on Learning Representations, 2021 | 5 | 2021 |
| Recursive top-down production for sentence generation with latent trees S Tan, Y Shen, TJ O'Donnell, A Sordoni, A Courville arXiv preprint arXiv:2010.04704, 2020 | 5 | 2020 |
| Generating contradictory, neutral, and entailing sentences Y Shen, S Tan, CW Huang, A Courville arXiv preprint arXiv:1803.02710, 2018 | 5 | 2018 |
| Power scheduler: A batch size and token number agnostic learning rate scheduler Y Shen, M Stallone, M Mishra, G Zhang, S Tan, A Prasad, AM Soria, ... arXiv preprint arXiv:2408.13359, 2024 | 2 | 2024 |
| Granite 3.0 Language Models IBM Granite Team | 1 | 2024 |
| Inferring identity factors for grouped examples S Tan, CJ Pal, A Courville | 1 | 2018 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chair在 umontreal.ca 的电子邮件经过验证
