Xiaobo Xia

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	Hepsi	2020 yılından bugüne
Alıntılar	2413	2412
h-endeksi	20	20
i10-endeksi	28	28

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Finansman sağlayan kuruluşun getirdiği zorunluluğa dayalı olarak

Katkıda bulunan yazarlar

Tongliang LiuDirector, Sydney AI Centre, University of Sydney & Mohamed bin Zayed University of AIsydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Bo HanHKBU / RIKENcomp.hkbu.edu.hk üzerinde doğrulanmış e-posta adresine sahip
Nannan WangProfessor, Xidian Universityxidian.edu.cn üzerinde doğrulanmış e-posta adresine sahip
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial Intelligenceunimelb.edu.au üzerinde doğrulanmış e-posta adresine sahip
Gang NiuSenior Research Scientist (tenured), RIKEN Center for Advanced Intelligence Projectriken.jp üzerinde doğrulanmış e-posta adresine sahip
Masashi SugiyamaDirector, RIKEN Center for Advanced Intelligence Project / Professor, The University of Tokyok.u-tokyo.ac.jp üzerinde doğrulanmış e-posta adresine sahip
Yunshui LiShenzhen Institutes of Advanced Technology, Chinese Academy of Sciencessiat.ac.cn üzerinde doğrulanmış e-posta adresine sahip
Jiale LiuPenn State Universitypsu.edu üzerinde doğrulanmış e-posta adresine sahip
Yewen LiNangyang Technological Universitye.ntu.edu.sg üzerinde doğrulanmış e-posta adresine sahip
Dacheng TaoNanyang Technological Universityntu.edu.sg üzerinde doğrulanmış e-posta adresine sahip
Zhuo HuangPhD student, The University of Sydneyuni.sydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Zhaoqing Wang (Derrick)Ph.D., Sydney AI Centre, University of Sydneyuni.sydney.edu.au üzerinde doğrulanmış e-posta adresine sahip
Run LuoUniversity of Chinese Academy of Sciencessiat.ac.cn üzerinde doğrulanmış e-posta adresine sahip
Tat-Seng ChuaNational University of Singaporecomp.nus.edu.sg üzerinde doğrulanmış e-posta adresine sahip

Takip et

Xiaobo Xia

Postdoc, National University of Singapore

nus.edu.sg üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa

Trustworthy AI Machine Learning Multimodal Learning AI4Science


Başlık Alıntılara göre sırala Yıla göre sırala Başlığa göre sırala	Alıntı yapanlar Alıntı yapanlar	Yıl
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	420	2019
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 (spotlight), 2020	335	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	330	2021
Selective-supervised contrastive learning with noisy labels S Li, X Xia, S Ge, T Liu CVPR 2022, 2022	251	2022
Sample selection with uncertainty of losses for learning with noisy labels X Xia, T Liu, B Han, M Gong, J Yu, G Niu, M Sugiyama ICLR 2022, 2022	147	2022
Moderate coreset: A universal method of data selection for real-world data-efficient deep learning X Xia, J Liu, J Yu, X Shen, B Han, T Liu ICLR 2023, 2023	87	2023
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	77	2021
Estimating noise transition matrix with label correlations for noisy multi-label learning S Li, X Xia, H Zhang, Y Zhan, S Ge, T Liu NeurIPS 2022 (spotlight), 2022	76	2022
HumanMAC: Masked motion completion for human motion prediction L Chen, J Zhang, Y Li, Y Pang, X Xia, T Liu ICCV 2023, 2023	69	2023
Extended T: Learning with mixed closed-set and open-set noisy labels X Xia, B Han, N Wang, J Deng, J Li, Y Mao, T Liu TPAMI 2023, 2023	65	2023
Learning lightweight super-resolution networks with weight pruning X Jiang, N Wang, J Xin, X Xia, X Yang, X Gao Neural Network 2021, 2021	61	2021
Harnessing out-of-distribution examples via augmenting content and style Z Huang, X Xia, L Shen, B Han, M Gong, C Gong, T Liu ICLR 2023, 2023	49	2023
One shot learning as instruction data prospector for large language models Y Li, B Hui, X Xia, J Yang, M Yang, L Zhang, S Si, J Liu, T Liu, F Huang, ... ACL 2024, 2024	47*	2024
Objects in semantic topology S Yang, P Sun, Y Jiang, X Xia, R Zhang, Z Yuan, C Wang, P Luo, M Xu ICLR 2022, 2022	45	2022
Combating noisy labels with sample selection by mining high-discrepancy examples X Xia, B Han, Y Zhan, J Yu, M Gong, C Gong, T Liu ICCV 2023, 2023	39	2023
Robust generalization against photon-limited corruptions via worst-case sharpness minimization Z Huang, M Zhu, X Xia, L Shen, J Yu, C Gong, B Han, B Du, T Liu CVPR 2023, 2023	30	2023
IDEAL: Influence-driven selective annotations empower in-context learners in large language models S Zhang, X Xia, Z Wang, L Chen, J Liu, Q Wu, T Liu ICLR 2024, 2024	28	2024
A holistic view of label noise transition matrix in deep learning and beyond LIN Yong, R Pi, W Zhang, X Xia, J Gao, X Zhou, T Liu, B Han ICLR 2023 (spotlight), 2023	26*	2023
Out-of-distribution detection with an adaptive likelihood ratio on informative hierarchical vae Y Li, C Wang, X Xia, T Liu, X Miao, B An NeurIPS 2022, 2022	23	2022
Out-of-distribution detection learning with unreliable out-of-distribution sources H Zheng, Q Wang, Z Fang, X Xia, F Liu, T Liu, B Han NeurIPS 2023, 2023	20	2023

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