| Context encoders: Feature learning by inpainting D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 5582 | 2016 |
| Curiosity-driven exploration by self-supervised prediction D Pathak, P Agrawal, AA Efros, T Darrell International Conference on Machine Learning, 2778-2787, 2017 | 2275 | 2017 |
| Toward Multimodal Image-to-Image Translation JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman Advances in Neural Information Processing Systems, 465-476, 2017 | 1555 | 2017 |
| Large-scale study of curiosity-driven learning Y Burda, H Edwards, D Pathak, A Storkey, T Darrell, AA Efros arXiv preprint arXiv:1808.04355, 2018 | 722 | 2018 |
| Constrained convolutional neural networks for weakly supervised segmentation D Pathak, P Krahenbuhl, T Darrell Proceedings of the IEEE international conference on computer vision, 1796-1804, 2015 | 708 | 2015 |
| Learning features by watching objects move D Pathak, R Girshick, P Dollár, T Darrell, B Hariharan Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 561 | 2017 |
| Fully convolutional multi-class multiple instance learning D Pathak, E Shelhamer, J Long, T Darrell arXiv preprint arXiv:1412.7144, 2014 | 360 | 2014 |
| Self-supervised exploration via disagreement D Pathak, D Gandhi, A Gupta International conference on machine learning, 5062-5071, 2019 | 296 | 2019 |
| Zero-shot visual imitation D Pathak, P Mahmoudieh, G Luo, P Agrawal, D Chen, Y Shentu, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 272 | 2018 |
| Planning to explore via self-supervised world models R Sekar, O Rybkin, K Daniilidis, P Abbeel, D Hafner, D Pathak International Conference on Machine Learning, 8583-8592, 2020 | 266 | 2020 |
| Language models as zero-shot planners: Extracting actionable knowledge for embodied agents W Huang, P Abbeel, D Pathak, I Mordatch International Conference on Machine Learning, 9118-9147, 2022 | 256 | 2022 |
| Rma: Rapid motor adaptation for legged robots A Kumar, Z Fu, D Pathak, J Malik arXiv preprint arXiv:2107.04034, 2021 | 222 | 2021 |
| Compositional gan: Learning image-conditional binary composition S Azadi, D Pathak, S Ebrahimi, T Darrell International Journal of Computer Vision 128, 2570-2585, 2020 | 176 | 2020 |
| Investigating human priors for playing video games R Dubey, P Agrawal, D Pathak, TL Griffiths, AA Efros arXiv preprint arXiv:1802.10217, 2018 | 168 | 2018 |
| One policy to control them all: Shared modular policies for agent-agnostic control W Huang, I Mordatch, D Pathak International Conference on Machine Learning, 4455-4464, 2020 | 108 | 2020 |
| Learning to control self-assembling morphologies: a study of generalization via modularity D Pathak, C Lu, T Darrell, P Isola, AA Efros Advances in Neural Information Processing Systems 32, 2019 | 96 | 2019 |
| Detector discovery in the wild: Joint multiple instance and representation learning J Hoffman, D Pathak, T Darrell, K Saenko Proceedings of the ieee conference on computer vision and pattern …, 2015 | 90 | 2015 |
| Flavr: Flow-agnostic video representations for fast frame interpolation T Kalluri, D Pathak, M Chandraker, D Tran Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 81 | 2023 |
| Third-person visual imitation learning via decoupled hierarchical controller P Sharma, D Pathak, A Gupta Advances in Neural Information Processing Systems 32, 2019 | 73 | 2019 |
| Discovering and achieving goals via world models R Mendonca, O Rybkin, K Daniilidis, D Hafner, D Pathak Advances in Neural Information Processing Systems 34, 24379-24391, 2021 | 58 | 2021 |
Trevor DarrellProfessor of Computer Science, U.C. Berkeley在 eecs.berkeley.edu 的电子邮件经过验证
