Tongliang Liu

Dikutip oleh

	Semua	Sejak 2020
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Dacheng TaoNanyang Technological UniversityEmail yang diverifikasi di ntu.edu.sg
Bo HanHKBU / RIKENEmail yang diverifikasi di comp.hkbu.edu.hk
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceEmail yang diverifikasi di unimelb.edu.au
Gang NiuSenior Research Scientist (tenured), RIKEN Center for Advanced Intelligence ProjectEmail yang diverifikasi di riken.jp
Xiaobo XiaPostdoc, National University of SingaporeEmail yang diverifikasi di nus.edu.sg
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoEmail yang diverifikasi di k.u-tokyo.ac.jp
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Email yang diverifikasi di cmu.edu
Yuxuan DuNanyang Technological UniversityEmail yang diverifikasi di uni.sydney.edu.au
Yu YaoLecturer in the University of SydneyEmail yang diverifikasi di sydney.edu.au
Min-Hsiu HsiehFoxconn Research, Quantum Computing Research CenterEmail yang diverifikasi di foxconn.com
Jiankang DengImperial College LondonEmail yang diverifikasi di imperial.ac.uk
Yingbin BaiThe Australian National UniversityEmail yang diverifikasi di anu.edu.au
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHEmail yang diverifikasi di tuebingen.mpg.de
Jian-Wei PanUniversity of Science and Technology of ChinaEmail yang diverifikasi di ustc.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STAREmail yang diverifikasi di cfar.a-star.edu.sg
Steve MaybankEmeritus Professor in the Department of Computer Science, Birkbeck College, LondonEmail yang diverifikasi di dcs.bbk.ac.uk
Gabor LugosiICREA and Universitat Pompeu FabraEmail yang diverifikasi di upf.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraEmail yang diverifikasi di upf.edu
Bo AnNanyang Technological UniversityEmail yang diverifikasi di ntu.edu.sg
Mohan KankanhalliProfessor of Computer Science, National University of SingaporeEmail yang diverifikasi di comp.nus.edu.sg

Ikuti

Tongliang Liu

Director, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AI

Email yang diverifikasi di sydney.edu.au - Beranda

Machine Learning Learning with Noisy Labels Trustworthy Machine Learning


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015	1039	2015
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	846	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	549	2017
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	454	2019
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	437	2019
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	425	2016
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	410	2022
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	385	2020
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	361	2017
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	343	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 2020, 2020	334	2020
Why resnet works? residuals generalize F He, T Liu, D Tao IEEE transactions on neural networks and learning systems, 2019	312	2019
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	293	2022
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	288	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 33, 2020	277	2020
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao NeurIPS 2020 33, 2020	272	2020
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	272	2017
Selective-Supervised Contrastive Learning with Noisy Labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022	258	2022
Understanding and Improving Early Stopping for Learning with Noisy Labels Y Bai, E Yang, B Han, Y Yang, J Li, Y Mao, G Niu, T Liu NeurIPS 2021, 2021	257	2021
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	255	2019

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