| Decaf: A deep convolutional activation feature for generic visual recognition J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell International conference on machine learning, 647-655, 2014 | 6223 | 2014 |
| Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 5983 | 2017 |
| Cycada: Cycle-consistent adversarial domain adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell International conference on machine learning, 1989-1998, 2018 | 3697 | 2018 |
| Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014 | 3402 | 2014 |
| Simultaneous deep transfer across domains and tasks E Tzeng, J Hoffman, T Darrell, K Saenko Proceedings of the IEEE international conference on computer vision, 4068-4076, 2015 | 1651 | 2015 |
| LSDA: Large scale detection through adaptation J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ... Advances in neural information processing systems 27, 2014 | 390 | 2014 |
| Toward transformer-based object detection J Beal, E Kim, E Tzeng, DH Park, A Zhai, D Kislyuk arXiv preprint arXiv:2012.09958, 2020 | 304 | 2020 |
| Unsupervised domain adaptation through self-supervision Y Sun, E Tzeng, T Darrell, AA Efros arXiv preprint arXiv:1909.11825, 2019 | 274 | 2019 |
| Adapting deep visuomotor representations with weak pairwise constraints E Tzeng, C Devin, J Hoffman, C Finn, P Abbeel, S Levine, K Saenko, ... Algorithmic Foundations of Robotics XII: Proceedings of the Twelfth Workshop …, 2020 | 171 | 2020 |
| Deep domain confusion: Maximizing for domain invariance. arXiv 2014 E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2019 | 122 | 2019 |
| Towards adapting deep visuomotor representations from simulated to real environments E Tzeng, C Devin, J Hoffman, C Finn, X Peng, S Levine, K Saenko, ... arXiv preprint arXiv:1511.07111 2 (3), 2015 | 122 | 2015 |
| One-shot adaptation of supervised deep convolutional models J Hoffman, E Tzeng, J Donahue, Y Jia, K Saenko, T Darrell arXiv preprint arXiv:1312.6204, 2013 | 100 | 2013 |
| Visual discovery at pinterest A Zhai, D Kislyuk, Y Jing, M Feng, E Tzeng, J Donahue, YL Du, T Darrell Proceedings of the 26th international conference on world wide web companion …, 2017 | 88 | 2017 |
| Adapting to continuously shifting domains A Bobu, E Tzeng, J Hoffman, T Darrell | 82 | 2018 |
| Learning a unified embedding for visual search at pinterest A Zhai, HY Wu, E Tzeng, DH Park, C Rosenberg Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 54 | 2019 |
| Unifying scene registration and trajectory optimization for learning from demonstrations with application to manipulation of deformable objects AX Lee, SH Huang, D Hadfield-Menell, E Tzeng, P Abbeel 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 46 | 2014 |
| User-driven geolocation of untagged desert imagery using digital elevation models E Tzeng, A Zhai, M Clements, R Townshend, A Zakhor Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 38 | 2013 |
| Semantic bottleneck scene generation S Azadi, M Tschannen, E Tzeng, S Gelly, T Darrell, M Lucic arXiv preprint arXiv:1911.11357, 2019 | 34 | 2019 |
| Large scale visual recognition through adaptation using joint representation and multiple instance learning J Hoffman, D Pathak, E Tzeng, J Long, S Guadarrama, T Darrell, ... Journal of Machine Learning Research 17 (142), 1-31, 2016 | 25 | 2016 |
| Large-scale reinforcement learning for diffusion models Y Zhang, E Tzeng, Y Du, D Kislyuk European Conference on Computer Vision, 1-17, 2024 | 24 | 2024 |
