Xiaobo Xia
Xiaobo Xia
Ph.D. student, The University of Sydney
Verified email at uni.sydney.edu.au
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
952019
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, 2020
442020
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
212021
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
17*2021
Extended T: Learning with mixed closed-set and open-set noisy labels
X Xia, T Liu, B Han, N Wang, J Deng, J Li, Y Mao
arXiv preprint arXiv:2012.00932, 2020
52020
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
22021
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
arxiv preprint arXiv:2106.00445, 2021
22021
Objects in semantic topology
S Yang, P Sun, Y Jiang, X Xia, R Zhang, Z Yuan, C Wang, P Luo, M Xu
arXiv preprint arXiv:2110.02687, 2021
2021
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, 2021
2021
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
2021
Kernel mean estimation by marginalized corrupted distributions
X Xia, S Shan, M Gong, N Wang, F Gao, H Wei, T Liu
arXiv preprint arXiv:2107.04855, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–11