| 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 | 142 | 2022 |
| Anomaly detection for skin disease images using variational autoencoder Y Lu, P Xu arXiv preprint arXiv:1807.01349, 2018 | 95 | 2018 |
| Countering language drift with seeded iterated learning Y Lu, S Singhal, F Strub, A Courville, O Pietquin International Conference on Machine Learning, 6437-6447, 2020 | 83 | 2020 |
| No-Press Diplomacy: Modeling Multi-agent Gameplay P Paquette, Y Lu, SS Bocco, M Smith, OG Satya, J Kummerfeld, J Pineau, ... Advances in Neural Information Processing Systems, 4474-4485, 2019 | 75 | 2019 |
| Hyper-Decision Transformer for Efficient Online Policy Adaptation M Xu, Y Lu, Y Shen, S Zhang, D Zhao, C Gan NeurIPS 2022 Foundation Models for Decision Making Workshop, 2023 | 42 | 2023 |
| Iterated learning for emergent systematicity in VQA A Vani, M Schwarzer, Y Lu, E Dhekane, A Courville International Conference on Learning Representations, 2021 | 32 | 2021 |
| Learning Task Decomposition with Ordered Memory Policy Network Y Lu, Y Shen, S Zhou, A Courville, JB Tenenbaum, C Gan arXiv preprint arXiv:2103.10972, 2021 | 21 | 2021 |
| Out-of-distribution detection for skin lesion images with deep isolation forest X Li, Y Lu, C Desrosiers, X Liu Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 19 | 2020 |
| Supervised Seeded Iterated Learning for Interactive Language Learning Y Lu, S Singhal, F Strub, O Pietquin, A Courville arXiv preprint arXiv:2010.02975, 2020 | 12 | 2020 |
| Combining Model-based and Model-free RL via Multi-step Control Variates T Che, Y Lu, G Tucker, S Bhupatiraju, S Gu, S Levine, Y Bengio | 6 | 2018 |
| Retrieval-Augmented Multiple Instance Learning Y Cui, Z Liu, Y Chen, Y Lu, X Yu, XS Liu, TW Kuo, M Rodrigues, CJ Xue, ... Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Using Representation Expressiveness and Learnability to Evaluate Self-Supervised Learning Methods Y Lu, Z Liu, A Baratin, R Laroche, A Courville, A Sordoni Transactions on Machine Learning Research, 2023 | 5 | 2023 |
| Decentralized Policy Gradient Method for Mean-Field Linear Quadratic Regulator with Global Convergence L Liu, Z Yang, Y Lu, Z Wang | 3 | 2020 |
| Emergence of language-like latents in deep neural networks Y Lu | | 2023 |
| Uniform Masking Prevails in Vision-Language Pretraining S Verma, Y Lu, R Hou, H Yu, N Ballas, M Khabsa, A Almahairi arXiv preprint arXiv:2212.05195, 2022 | | 2022 |
| Inducing Reusable Skills From Demonstrations with Option-Controller Network S Zhou, Y Shen, Y Lu, A Courville, JB Tenenbaum, C Gan | | 2022 |
| State Recognition of Mill Load Based on Improved K-means Clustering Algorithm Y Gao, C Wu, J Peng, Y Lu Journal of Physics: Conference Series 1676 (1), 012203, 2020 | | 2020 |
Aaron CourvilleProfessor, DIRO, Université de Montréal, Mila, Cifar CAI chair在 umontreal.ca 的电子邮件经过验证
