| Deep metric learning via lifted structured feature embedding HO Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 1943 | 2016 |
| Deep Metric Learning via Facility Location HO Song, S Jegelka, V Rathod, K Murphy Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 373 | 2017 |
| Puzzle mix: Exploiting saliency and local statistics for optimal mixup JH Kim, W Choo, HO Song International conference on machine learning, 5275-5285, 2020 | 362 | 2020 |
| Learning transferrable representations for unsupervised domain adaptation O Sener, HO Song, A Saxena, S Savarese Advances in neural information processing systems 29, 2016 | 337 | 2016 |
| On learning to localize objects with minimal supervision HO Song, R Girshick, S Jegelka, J Mairal, Z Harchaoui, T Darrell Proceedings of the 31th International Conference on Machine Learning (ICML-14), 2014 | 290 | 2014 |
| Semantic instance segmentation via deep metric learning A Fathi, Z Wojna, V Rathod, P Wang, HO Song, S Guadarrama, ... arXiv preprint arXiv:1703.10277, 2017 | 237 | 2017 |
| Uncertainty-based offline reinforcement learning with diversified q-ensemble G An, S Moon, JH Kim, HO Song Advances in neural information processing systems 34, 7436-7447, 2021 | 232 | 2021 |
| Weakly-supervised discovery of visual pattern configurations HO Song, YJ Lee, S Jegelka, T Darrell Advances in Neural Information Processing Systems 27, 2014 | 193 | 2014 |
| Co-mixup: Saliency guided joint mixup with supermodular diversity JH Kim, W Choo, H Jeong, HO Song arXiv preprint arXiv:2102.03065, 2021 | 168 | 2021 |
| Parsimonious black-box adversarial attacks via efficient combinatorial optimization S Moon, G An, HO Song International Conference on Machine Learning, 4636-4645, 2019 | 148 | 2019 |
| Emi: Exploration with mutual information H Kim, J Kim, Y Jeong, S Levine, HO Song International Conference on Machine Learning, 3360-3369, 2019 | 118 | 2019 |
| Dataset condensation via efficient synthetic-data parameterization JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song International Conference on Machine Learning, 11102-11118, 2022 | 105 | 2022 |
| Sparselet models for efficient multiclass object detection HO Song, S Zickler, T Althoff, R Girshick, M Fritz, C Geyer, P Felzenszwalb, ... Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 105 | 2012 |
| Learning to detect visual grasp affordance HO Song, M Fritz, D Goehring, T Darrell IEEE Transactions on Automation Science and Engineering 13 (2), 798-809, 2015 | 66 | 2015 |
| Learning discrete and continuous factors of data via alternating disentanglement Y Jeong, HO Song International Conference on Machine Learning, 3091-3099, 2019 | 42 | 2019 |
| Query-efficient and scalable black-box adversarial attacks on discrete sequential data via bayesian optimization D Lee, S Moon, J Lee, HO Song International Conference on Machine Learning, 12478-12497, 2022 | 39 | 2022 |
| Discriminatively activated sparselets R Girshick, HO Song, T Darrell International Conference on Machine Learning, 196-204, 2013 | 33 | 2013 |
| Detection bank: an object detection based video representation for multimedia event recognition T Althoff, HO Song, T Darrell Proceedings of the 20th ACM international conference on Multimedia, 1065-1068, 2012 | 32 | 2012 |
| Generalized sparselet models for real-time multiclass object recognition HO Song, R Girshick, S Zickler, C Geyer, P Felzenszwalb, T Darrell IEEE transactions on pattern analysis and machine intelligence 37 (5), 1001-1012, 2014 | 25 | 2014 |
| Visual grasp affordances from appearance-based cues HO Song, M Fritz, C Gu, T Darrell 2011 IEEE International Conference on Computer Vision Workshops (ICCV …, 2011 | 25 | 2011 |
Stefanie JegelkaTUM and MIT在 mit.edu 的电子邮件经过验证
