| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, S Yang, T Lillicrap, ... arXiv preprint arXiv:2403.05530, 2024 | 1144 | 2024 |
| Multi-game decision transformers KH Lee, O Nachum, MS Yang, L Lee, D Freeman, S Guadarrama, ... Advances in Neural Information Processing Systems 35, 27921-27936, 2022 | 248 | 2022 |
| Graphit: A high-performance graph dsl Y Zhang, M Yang, R Baghdadi, S Kamil, J Shun, S Amarasinghe Proceedings of the ACM on Programming Languages 2 (OOPSLA), 1-30, 2018 | 242* | 2018 |
| Learning Universal Policies via Text-Guided Video Generation Y Du*, M Yang*, B Dai, H Dai, O Nachum, J Tenenbaum, D Schuurmans, ... Advances in Neural Information Processing Systems 36, 2023 | 198 | 2023 |
| Foundation models for decision making: Problems, methods, and opportunities M Yang, O Nachum, Y Du, J Wei, P Abbeel, D Schuurmans arXiv preprint arXiv:2303.04129, 2023 | 171 | 2023 |
| Benchmarking attribution methods with relative feature importance M Yang, B Kim Workshop on Human Centered AI at Advances in Neural Information Processing …, 2019 | 168* | 2019 |
| Video Language Planning Y Du, S Yang, P Florence, F Xia, A Wahid, B Ichter, P Sermanet, T Yu, ... arXiv:2310.10625 Search..., 2023 | 162* | 2023 |
| Learning Interactive Real-World Simulators S Yang, Y Du, K Ghasemipour, J Tompson, L Kaelbling, D Schuurmans, ... International Conference on Learning Representations 2024, 2023 | 142* | 2023 |
| Representation Matters: Offline Pretraining for Sequential Decision Making M Yang, O Nachum International Conference on Machine Learning 139, 11784-11794, 2021 | 138 | 2021 |
| Off-policy evaluation via the regularized lagrangian M Yang, O Nachum, B Dai, L Li, D Schuurmans Advances in Neural Information Processing Systems 33, 2020 | 126 | 2020 |
| Benchmarks for Deep Off-Policy Evaluation J Fu, M Norouzi, O Nachum, G Tucker, Z Wang, A Novikov, M Yang, ... International Conference on Learning Representations, 2021 | 103 | 2021 |
| Offline RL for Natural Language Generation with Implicit Language Q Learning C Snell, I Kostrikov, Y Su, M Yang, S Levine International Conference on Learning Representations 2023, 2022 | 99 | 2022 |
| Combiner: Full Attention Transformer with Sparse Computation Cost H Ren, H Dai, Z Dai, M Yang, J Leskovec, D Schuurmans, B Dai Advances in Neural Information Processing Systems 33, 2021 | 80 | 2021 |
| Making linear mdps practical via contrastive representation learning T Zhang, T Ren, M Yang, J Gonzalez, D Schuurmans, B Dai International Conference on Machine Learning, 26447-26466, 2022 | 54 | 2022 |
| Trail: Near-optimal imitation learning with suboptimal data M Yang, S Levine, O Nachum International Conference on Learning Representations, 2021 | 52 | 2021 |
| Dichotomy of control: Separating what you can control from what you cannot M Yang, D Schuurmans, P Abbeel, O Nachum International Conference on Learning Representations 2023, 2022 | 46 | 2022 |
| Offline policy selection under uncertainty M Yang, B Dai, O Nachum, G Tucker, D Schuurmans International Conference on Artificial Intelligence and Statistics, 4376-4396, 2022 | 42 | 2022 |
| CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning S Verma, J Fu, M Yang, S Levine Findings of the Association for Computational Linguistics: NAACL 2022, 2022 | 42 | 2022 |
| Provable Representation Learning for Imitation with Contrastive Fourier Features O Nachum, M Yang Advances in Neural Information Processing Systems 34, 2021 | 42 | 2021 |
| Scalable diffusion for materials generation M Yang, KH Cho, A Merchant, P Abbeel, D Schuurmans, I Mordatch, ... International Conference on Learning Representations 2024, 2023 | 40 | 2023 |
Dale SchuurmansUniversity of Alberta, Google DeepMindВерификована је имејл адреса на cs.ualberta.ca