Tongliang Liu

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Soavtorji

Dacheng TaoNanyang Technological UniversityPreverjeni e-poštni naslov na ntu.edu.sg
Bo HanHKBU / RIKENPreverjeni e-poštni naslov na comp.hkbu.edu.hk
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligencePreverjeni e-poštni naslov na unimelb.edu.au
Gang NiuSenior Research Scientist (tenured), RIKEN Center for Advanced Intelligence ProjectPreverjeni e-poštni naslov na riken.jp
Xiaobo XiaPostdoc, National University of SingaporePreverjeni e-poštni naslov na nus.edu.sg
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of TokyoPreverjeni e-poštni naslov na k.u-tokyo.ac.jp
Kun ZhangCarnegie Mellon University & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Preverjeni e-poštni naslov na cmu.edu
Yuxuan DuNanyang Technological UniversityPreverjeni e-poštni naslov na uni.sydney.edu.au
Min-Hsiu HsiehFoxconn Research, Quantum Computing Research CenterPreverjeni e-poštni naslov na foxconn.com
Yu YaoLecturer in the University of SydneyPreverjeni e-poštni naslov na sydney.edu.au
Jiankang DengImperial College LondonPreverjeni e-poštni naslov na imperial.ac.uk
Yingbin BaiThe Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPreverjeni e-poštni naslov na tuebingen.mpg.de
Jian-Wei PanUniversity of Science and Technology of ChinaPreverjeni e-poštni naslov na ustc.edu.cn
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARPreverjeni e-poštni naslov na cfar.a-star.edu.sg
Steve MaybankEmeritus Professor in the Department of Computer Science, Birkbeck College, LondonPreverjeni e-poštni naslov na dcs.bbk.ac.uk
Gabor LugosiICREA and Universitat Pompeu FabraPreverjeni e-poštni naslov na upf.edu
Gergely NeuArtificial Intelligence and Machine Learning group, Universitat Pompeu FabraPreverjeni e-poštni naslov na upf.edu
Bo AnNanyang Technological UniversityPreverjeni e-poštni naslov na ntu.edu.sg
Mohan KankanhalliProfessor of Computer Science, National University of SingaporePreverjeni e-poštni naslov na comp.nus.edu.sg

Spremljaj

Tongliang Liu

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

Preverjeni e-poštni naslov na sydney.edu.au - Domača stran

Machine Learning Learning with Noisy Labels Trustworthy Machine Learning


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015	1033	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	837	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	544	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	451	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	431	2019
Domain adaptation with conditional transferable components M Gong, K Zhang, T Liu, D Tao, C Glymour, B Schölkopf ICML 2016, 2839-2848, 2016	422	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	403	2022
Expressive power of parametrized quantum circuits Y Du, MH Hsieh, T Liu, D Tao Physical Review Research 2 (3), 033125, 2020	380	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	360	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	332	2020
Why resnet works? residuals generalize F He, T Liu, D Tao IEEE transactions on neural networks and learning systems, 2019	308	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	291	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	282	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	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	271	2017
Domain generalization via entropy regularization S Zhao, M Gong, T Liu, H Fu, D Tao NeurIPS 2020 33, 2020	270	2020
Selective-Supervised Contrastive Learning with Noisy Labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022	254	2022
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	250	2019
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	249	2021

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