Tongliang Liu

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

Stebėti

Tongliang Liu

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

Patvirtintas el. paštas sydney.edu.au - Pagrindinis puslapis

Machine Learning Learning with Noisy Labels Trustworthy Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Classification with noisy labels by importance reweighting T Liu, D Tao IEEE Transactions on pattern analysis and machine intelligence 38 (3), 447-461, 2015	1032	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	835	2018
On compressing deep models by low rank and sparse decomposition X Yu, T Liu, X Wang, D Tao CVPR 2017, 7370-7379, 2017	543	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	401	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	305	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	290	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	271	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	253	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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