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Songhua Wu
Songhua Wu
The University of Sydney
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
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
International Conference on Machine Learning, 11285-11295, 2021
672021
Bridging the gap between few-shot and many-shot learning via distribution calibration
S Yang, S Wu, T Liu, M Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9830 …, 2021
302021
Fair classification with instance-dependent label noise
S Wu, M Gong, B Han, Y Liu, T Liu
Conference on Causal Learning and Reasoning, 927-943, 2022
192022
Multi-class classification from noisy-similarity-labeled data
S Wu, X Xia, T Liu, B Han, M Gong, N Wang, H Liu, G Niu
arXiv preprint arXiv:2002.06508, 2020
132020
Learning from noisy pairwise similarity and unlabeled data
S Wu, T Liu, B Han, J Yu, G Niu, M Sugiyama
Journal of Machine Learning Research 23 (307), 1-34, 2022
42022
A parametrical model for instance-dependent label noise
S Yang, S Wu, E Yang, B Han, Y Liu, M Xu, G Niu, T Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
22023
A Time-Consistency Curriculum for Learning from Instance-Dependent Noisy Labels
S Wu, T Zhou, Y Du, J Yu, B Han, T Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
12024
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels
X Jin, T He, X Shen, S Wu, T Liu, J Ye, X Wang, J Huang, Z Chen, XS Hua
European Conference on Computer Vision, 308-325, 2022
12022
Learning with Noisy Labels Incorporating Fairness and Privacy Concerns
S Wu
2023
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