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Title
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Cited by
Year
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
4532017
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
1942018
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
512018
Transfer learning with label noise
X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao
arXiv preprint arXiv:1707.09724, 2017
362017
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
332021
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
312020
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
52016
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
22013
Label-Noise Robust Domain Adaptation Supplementary Material
X Yu, T Liu, M Gong, K Zhang, K Batmanghelich, D Tao
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Articles 1–9