Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... Transactions on Machine Learning Research, 2023 | 507 | 2023 |
Exploring geometry-aware contrast and clustering harmonization for self-supervised 3d object detection H Liang, C Jiang, D Feng, X Chen, H Xu, X Liang, W Zhang, Z Li, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 84 | 2021 |
Transnas-bench-101: Improving transferability and generalizability of cross-task neural architecture search Y Duan, X Chen, H Xu, Z Chen, X Liang, T Zhang, Z Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 76 | 2021 |
An Empirical Investigation of Representation Learning for Imitation X Chen, S Toyer, C Wild, S Emmons, I Fischer, KH Lee, N Alex, SH Wang, ... Advances in Neural Information Processing Systems 2021, 2022 | 33 | 2022 |
Arch-graph: Acyclic architecture relation predictor for task-transferable neural architecture search M Huang, Z Huang, C Li, X Chen, H Xu, Z Li, X Liang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 25 | 2022 |
Catch: Context-based meta reinforcement learning for transferrable architecture search X Chen, Y Duan, Z Chen, H Xu, Z Chen, X Liang, T Zhang, Z Li Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 23 | 2020 |
Learning Safety Constraints from Demonstrations with Unknown Rewards D Lindner, X Chen, S Tschiatschek, K Hofmann, A Krause The 27th International Conference on Artificial Intelligence and Statistics …, 2023 | 21 | 2023 |
Exploring and Addressing Reward Confusion in Offline Preference Learning X Chen, S Toyer, F Shkurti NeurIPS2024 Workshop on Bayesian Decision-making and Uncertainty, 2024 | | 2024 |