| Compact bilinear pooling Y Gao, O Beijbom, N Zhang, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 886 | 2016 |
| End-to-end learning of driving models from large-scale video datasets H Xu, Y Gao, F Yu, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 865 | 2017 |
| Deep learning for tactile understanding from visual and haptic data Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell 2016 IEEE International Conference on Robotics and Automation (ICRA), 536-543, 2016 | 259 | 2016 |
| Reinforcement learning from imperfect demonstrations Y Gao, H Xu, J Lin, F Yu, S Levine, T Darrell arXiv preprint arXiv:1802.05313, 2018 | 220 | 2018 |
| Risk Averse Robust Adversarial Reinforcement Learning X Pan, D Seita, Y Gao, J Canny International Conference on Robotics and Automation (ICRA), 2019 | 88 | 2019 |
| Prototypical cross-domain self-supervised learning for few-shot unsupervised domain adaptation X Yue, Z Zheng, S Zhang, Y Gao, T Darrell, K Keutzer, AS Vincentelli Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 85 | 2021 |
| Fine-grained pose prediction, normalization, and recognition N Zhang, E Shelhamer, Y Gao, T Darrell International Conference on Learning Representations (ICLR), 2016, 2015 | 76 | 2015 |
| Mastering atari games with limited data W Ye, S Liu, T Kurutach, P Abbeel, Y Gao Advances in Neural Information Processing Systems 34, 25476-25488, 2021 | 74 | 2021 |
| Systematic discovery of mutation-specific synthetic lethals by mining pan-cancer human primary tumor data S Sinha, D Thomas, S Chan, Y Gao, D Brunen, D Torabi, A Reinisch, ... Nature communications 8 (1), 15580, 2017 | 69 | 2017 |
| A fully unsupervised non-intrusive load monitoring framework R Jia, Y Gao, CJ Spanos 2015 IEEE international conference on smart grid communications …, 2015 | 54 | 2015 |
| Generalized orderless pooling performs implicit salient matching M Simon, Y Gao, T Darrell, J Denzler, E Rodner Proceedings of the IEEE international conference on computer vision, 4960-4969, 2017 | 49 | 2017 |
| epointda: An end-to-end simulation-to-real domain adaptation framework for lidar point cloud segmentation S Zhao, Y Wang, B Li, B Wu, Y Gao, P Xu, T Darrell, K Keutzer Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3500-3509, 2021 | 41 | 2021 |
| Proton: A visuo-haptic data acquisition system for robotic learning of surface properties A Burka, S Hu, S Helgeson, S Krishnan, Y Gao, LA Hendricks, T Darrell, ... 2016 IEEE International Conference on Multisensor Fusion and Integration for …, 2016 | 26 | 2016 |
| Fighting copycat agents in behavioral cloning from observation histories C Wen, J Lin, T Darrell, D Jayaraman, Y Gao Advances in Neural Information Processing Systems 33, 2564-2575, 2020 | 22 | 2020 |
| Streaming Gibbs sampling for LDA model Y Gao, J Chen, J Zhu arXiv preprint arXiv:1601.01142, 2016 | 18 | 2016 |
| Reinforcement learning with latent flow W Shang, X Wang, A Srinivas, A Rajeswaran, Y Gao, P Abbeel, M Laskin Advances in Neural Information Processing Systems 34, 22171-22183, 2021 | 16 | 2021 |
| Mutual information state intrinsic control R Zhao, Y Gao, P Abbeel, V Tresp, W Xu International Conference on Learning Representations (ICLR), 2021, 2021 | 16 | 2021 |
| Maximum Entropy Population Based Training for Zero-Shot Human-AI Coordination R Zhao, J Song, H Haifeng, Y Gao, Y Wu, Z Sun, Y Wei AAAI Conference on Artificial Intelligence (AAAI), 2023, 2023 | 14 | 2023 |
| Pre-trained image encoder for generalizable visual reinforcement learning Z Yuan, Z Xue, B Yuan, X Wang, Y Wu, Y Gao, H Xu Neural Information Processing Systems (NeurIPS), 2022, 2022 | 10 | 2022 |
| Deceptive answer prediction with user preference graph F Li, Y Gao, S Zhou, X Si, D Dai Association for Computational Linguistics (ACL), 2013, 2013 | 9 | 2013 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
