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Xiaobo Xia
Xiaobo Xia
Ph.D. student, The University of Sydney
Verified email at uni.sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Are anchor points really indispensable in label-noise learning?
X Xia, T Liu, N Wang, B Han, C Gong, G Niu, M Sugiyama
NeurIPS 2019, 2019
1552019
Part-dependent label noise: Towards instance-dependent label noise
X Xia, T Liu, B Han, N Wang, M Gong, H Liu, G Niu, D Tao, M Sugiyama
NeurIPS 2020 (spotlight), 2020
912020
Robust early-learning: Hindering the memorization of noisy labels
X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang
ICLR 2021, 2021
582021
Class2Simi: A noise reduction perspective on learning with noisy labels
S Wu, X Xia, T Liu, B Han, M Gong, N Wang, H Liu, G Niu
ICML 2021, 2021
38*2021
Extended T: Learning with mixed closed-set and open-set noisy labels
X Xia, B Han, N Wang, J Deng, J Li, Y Mao, T Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
152022
Learning lightweight super-resolution networks with weight pruning
X Jiang, N Wang, J Xin, X Xia, X Yang, X Gao
Neural Networks 144, 21-32, 2021
92021
Objects in semantic topology
S Yang, P Sun, Y Jiang, X Xia, R Zhang, Z Yuan, C Wang, P Luo, M Xu
ICLR 2022, 2022
72022
Sample selection with uncertainty of losses for learning with noisy labels
X Xia, T Liu, B Han, M Gong, J Yu, G Niu, M Sugiyama
ICLR 2022, 2022
62022
Selective-supervised contrastive learning with noisy labels
S Li, X Xia, S Ge, T Liu
CVPR 2022, 2022
42022
Instance correction for learning with open-set noisy labels
X Xia, T Liu, B Han, M Gong, J Yu, G Niu, M Sugiyama
arxiv preprint arXiv:2106.00455, 2021
32021
LR-SVM+: Learning using privileged information with noisy labels
Z Wu, X Xia, R Wang, J Li, J Yu, Y Mao, T Liu
IEEE Transactions on Multimedia 24 (1), 1080-1092, 2021
12021
Harnessing out-of-distribution examples via augmenting content and style
Z Huang, X Xia, L Shen, B Han, M Gong, C Gong, T Liu
arxiv preprint arXiv:2207.03162, 2022
2022
Pluralistic image completion with probabilistic mixture-of-experts
X Xia, W Yang, J Ren, Y Li, Y Zhan, B Han, T Liu
arxiv preprint arXiv:2205.09086, 2022
2022
Kernel mean estimation by marginalized corrupted distributions
X Xia, S Shan, M Gong, N Wang, F Gao, H Wei, T Liu
SIGKDD 2022, 2022
2022
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Articles 1–14