On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 485 | 2017 |
Learning with biased complementary labels X Yu, T Liu, M Gong, D Tao Proceedings of the European conference on computer vision (ECCV), 68-83, 2018 | 204 | 2018 |
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption X Yu, T Liu, M Gong, K Batmanghelich, D Tao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 53 | 2018 |
Facecontroller: Controllable attribute editing for face in the wild Z Xu, X Yu, Z Hong, Z Zhu, J Han, J Liu, E Ding, X Bai Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 3083-3091, 2021 | 39 | 2021 |
Transfer learning with label noise X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao arXiv preprint arXiv:1707.09724, 2017 | 36 | 2017 |
Label-noise robust domain adaptation X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao International conference on machine learning, 10913-10924, 2020 | 32 | 2020 |
Scalable completion of nonnegative matrix with separable structure X Yu, W Bian, D Tao Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 5 | 2016 |
Supervised image segmentation using learning and merging Y Xiyu, Z Fugen, B Xiangzhi, G Bin, W Hui, T Dongjie 2013 8th International Symposium on Image and Signal Processing and Analysis …, 2013 | 2 | 2013 |
Label-Noise Robust Domain Adaptation Supplementary Material X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao | | |