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Tongliang Liu
Tongliang Liu
Director, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
Classification with noisy labels by importance reweighting
T Liu, D Tao
IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2016
9372016
Deep domain generalization via conditional invariant adversarial networks
Y Li, X Tian, M Gong, Y Liu, T Liu, K Zhang, D Tao
ECCV 2018, 624-639, 2018
7342018
On compressing deep models by low rank and sparse decomposition
X Yu, T Liu, X Wang, D Tao
CVPR 2017, 7370-7379, 2017
4902017
Multiple Kernel -Means with Incomplete Kernels
X Liu, X Zhu, M Li, L Wang, E Zhu, T Liu, M Kloft, D Shen, J Yin, W Gao
IEEE transactions on pattern analysis and machine intelligence 42 (5), 1191-1204, 2019
4132019
Domain adaptation with conditional transferable components
M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf
ICML 2016, 2839-2848, 2016
3962016
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, 6835--6846, 2019
3712019
dipIQ: Blind image quality assessment by learning-to-rank discriminable image pairs
K Ma, W Liu, T Liu, Z Wang, D Tao
IEEE Transactions on Image Processing 26 (8), 3951-3964, 2017
3342017
Expressive power of parametrized quantum circuits
Y Du, MH Hsieh, T Liu, D Tao
Physical Review Research 2 (3), 033125, 2020
3102020
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 33, 2020
2732020
Cris: Clip-driven referring image segmentation
Z Wang, Y Lu, Q Li, X Tao, Y Guo, M Gong, T Liu
CVPR 2022, 11686-11695, 2022
2672022
Robust early-learning: Hindering the memorization of noisy labels
X Xia, T Liu, B Han, C Gong, N Wang, Z Ge, Y Chang
ICLR 2020, 2020
2672020
Fast supervised discrete hashing
J Gui, T Liu, Z Sun, D Tao, T Tan
IEEE transactions on pattern analysis and machine intelligence 40 (2), 490-496, 2017
2632017
Domain generalization via entropy regularization
S Zhao, M Gong, T Liu, H Fu, D Tao
NeurIPS 2020 33, 2020
2342020
Sub-center ArcFace: Boosting Face Recognition by Large-scale Noisy Web Faces
J Deng, J Guo, T Liu, M Gong, S Zafeiriou
ECCV 2020, 2020
2272020
Why resnet works? residuals generalize
F He, T Liu, D Tao
IEEE transactions on neural networks and learning systems, 2019
2252019
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 33, 2020
2242020
Domain generalization via conditional invariant representation
Y Li, M Gong, X Tian, T Liu, D Tao
AAAI 2018, 2018
2152018
Learning with noisy labels revisited: A study using real-world human annotations
J Wei, Z Zhu, H Cheng, T Liu, G Niu, Y Liu
ICLR 2022, 2022
2142022
Control batch size and learning rate to generalize well: Theoretical and empirical evidence
F He, T Liu, D Tao
NeurIPS 2019 32, 1143-1152, 2019
2092019
Learning with biased complementary labels
X Yu, T Liu, M Gong, D Tao
ECCV 2018, 68-83, 2018
2042018
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