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Bo Han
Bo Han
HKBU / RIKEN
Verified email at comp.hkbu.edu.hk - Homepage
Title
Cited by
Cited by
Year
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
B Han, Q Yao, X Yu, G Niu, M Xu, W Hu, IW Tsang, M Sugiyama
NeurIPS 2018, 2018
8662018
How does Disagreement Help Generalization against Label Corruption?
X Yu, B Han, J Yao, G Niu, IW Tsang, M Sugiyama
ICML 2019, 2019
2952019
Masking: A New Perspective of Noisy Supervision
B Han, J Yao, G Niu, M Zhou, IW Tsang, Y Zhang, M Sugiyama
NeurIPS 2018, 2018
1432018
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
1342019
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
J Zhang, X Xu, B Han, G Niu, L Cui, M Sugiyama, M Kankanhalli
ICML 2020, 2020
1282020
Geometry-aware Instance-reweighted Adversarial Training
J Zhang, J Zhu, G Niu, B Han, M Sugiyama, M Kankanhalli
ICLR 2021, 2021
812021
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
722020
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
B Han, G Niu, X Yu, Q Yao, M Xu, IW Tsang, M Sugiyama
ICML 2020, 2020
71*2020
Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning
Y Yao, T Liu, B Han, M Gong, J Deng, G Niu, M Sugiyama
NeurIPS 2020, 2020
692020
Searching to Exploit Memorization Effect in Learning with Noisy Labels
Q Yao, H Yang, B Han, G Niu, JT Kwok
ICML 2020, 2020
49*2020
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
422021
Confidence Scores Make Instance-dependent Label-noise Learning Possible
A Berthon, B Han, G Niu, T Liu, M Sugiyama
ICML 2021, 2021
352021
Learning with Multiple Complementary Labels
L Feng, T Kaneko, B Han, G Niu, B An, M Sugiyama
ICML 2020, 2020
342020
A Survey of Label-noise Representation Learning: Past, Present and Future
B Han, Q Yao, T Liu, G Niu, IW Tsang, JT Kwok, M Sugiyama
arXiv preprint arXiv:2011.04406, 2020
342020
Towards Robust ResNet: A Small Step but A Giant Leap
J Zhang, B Han, L Wynter, KH Low, M Kankanhalli
IJCAI 2019, 2019
272019
Progressive Stochastic Learning for Noisy Labels
B Han, IW Tsang, L Chen, C Yu, SF Fung
IEEE Transactions on Neural Networks and Learning Systems, 2017
262017
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
R Gao, F Liu, J Zhang, B Han, T Liu, G Niu, M Sugiyama
ICML 2021, 2021
24*2021
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
24*2021
Provably Consistent Partial-Label Learning
L Feng, J Lv, B Han, M Xu, G Niu, X Geng, B An, M Sugiyama
NeurIPS 2020, 2020
242020
Butterfly: One-step Approach towards Wildly Unsupervised Domain Adaptation
F Liu, J Lu, B Han, G Niu, G Zhang, M Sugiyama
NeurIPS 2019 workshop, 2019
24*2019
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