280 related articles for article (PubMed ID: 27071201)
1. Learning With Auxiliary Less-Noisy Labels.
Duan Y; Wu O
IEEE Trans Neural Netw Learn Syst; 2017 Jul; 28(7):1716-1721. PubMed ID: 27071201
[TBL] [Abstract][Full Text] [Related]
2. Improving Crowdsourced Label Quality Using Noise Correction.
Zhang J; Sheng VS; Li T; Wu X
IEEE Trans Neural Netw Learn Syst; 2018 May; 29(5):1675-1688. PubMed ID: 28333645
[TBL] [Abstract][Full Text] [Related]
3. Multiclass Learning With Partially Corrupted Labels.
Wang R; Liu T; Tao D
IEEE Trans Neural Netw Learn Syst; 2018 Jun; 29(6):2568-2580. PubMed ID: 28534794
[TBL] [Abstract][Full Text] [Related]
4. Partial Multi-Label Learning With Noisy Label Identification.
Xie MK; Huang SJ
IEEE Trans Pattern Anal Mach Intell; 2022 Jul; 44(7):3676-3687. PubMed ID: 33587695
[TBL] [Abstract][Full Text] [Related]
5. Extended T: Learning With Mixed Closed-Set and Open-Set Noisy Labels.
Xia X; Han B; Wang N; Deng J; Li J; Mao Y; Liu T
IEEE Trans Pattern Anal Mach Intell; 2023 Mar; 45(3):3047-3058. PubMed ID: 35675234
[TBL] [Abstract][Full Text] [Related]
6. Deep Learning from Noisy Image Labels with Quality Embedding.
Yao J; Wang J; Tsang IW; Zhang Y; Sun J; Zhang C; Zhang R
IEEE Trans Image Process; 2018 Oct; ():. PubMed ID: 30369444
[TBL] [Abstract][Full Text] [Related]
7. P-DIFF+: Improving learning classifier with noisy labels by Noisy Negative Learning loss.
Zhao Q; Hu W; Huang Y; Zhang F
Neural Netw; 2021 Dec; 144():1-10. PubMed ID: 34418693
[TBL] [Abstract][Full Text] [Related]
8. Typicality- and instance-dependent label noise-combating: a novel framework for simulating and combating real-world noisy labels for endoscopic polyp classification.
Gao Y; Fu J; Wang Y; Guo Y
Vis Comput Ind Biomed Art; 2024 May; 7(1):10. PubMed ID: 38709353
[TBL] [Abstract][Full Text] [Related]
9. BadLabel: A Robust Perspective on Evaluating and Enhancing Label-Noise Learning.
Zhang J; Song B; Wang H; Han B; Liu T; Liu L; Sugiyama M
IEEE Trans Pattern Anal Mach Intell; 2024 Jun; 46(6):4398-4409. PubMed ID: 38236681
[TBL] [Abstract][Full Text] [Related]
10. Learning from Weak and Noisy Labels for Semantic Segmentation.
Zhiwu Lu ; Zhenyong Fu ; Tao Xiang ; Peng Han ; Liwei Wang ; Xin Gao
IEEE Trans Pattern Anal Mach Intell; 2017 Mar; 39(3):486-500. PubMed ID: 28113885
[TBL] [Abstract][Full Text] [Related]
11. Robust co-teaching learning with consistency-based noisy label correction for medical image classification.
Zhu M; Zhang L; Wang L; Li D; Zhang J; Yi Z
Int J Comput Assist Radiol Surg; 2023 Apr; 18(4):675-683. PubMed ID: 36437387
[TBL] [Abstract][Full Text] [Related]
12. A Time-Consistency Curriculum for Learning From Instance-Dependent Noisy Labels.
Wu S; Zhou T; Du Y; Yu J; Han B; Liu T
IEEE Trans Pattern Anal Mach Intell; 2024 Jul; 46(7):4830-4842. PubMed ID: 38300782
[TBL] [Abstract][Full Text] [Related]
13. MetaLabelNet: Learning to Generate Soft-Labels From Noisy-Labels.
Algan G; Ulusoy I
IEEE Trans Image Process; 2022; 31():4352-4362. PubMed ID: 35731778
[TBL] [Abstract][Full Text] [Related]
14. Hybrid Noise-Oriented Multilabel Learning.
Zhang C; Yu Z; Fu H; Zhu P; Chen L; Hu Q
IEEE Trans Cybern; 2020 Jun; 50(6):2837-2850. PubMed ID: 30762579
[TBL] [Abstract][Full Text] [Related]
15. Wasserstein Adversarial Regularization for Learning With Label Noise.
Fatras K; Damodaran BB; Lobry S; Flamary R; Tuia D; Courty N
IEEE Trans Pattern Anal Mach Intell; 2022 Oct; 44(10):7296-7306. PubMed ID: 34232864
[TBL] [Abstract][Full Text] [Related]
16. Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification.
Aksoy AK; Ravanbakhsh M; Demir B
IEEE Trans Neural Netw Learn Syst; 2024 May; 35(5):6438-6451. PubMed ID: 36264722
[TBL] [Abstract][Full Text] [Related]
17. Partial Multilabel Learning Using Noise-Tolerant Broad Learning System With Label Enhancement and Dimensionality Reduction.
Qian W; Tu Y; Huang J; Shu W; Cheung YM
IEEE Trans Neural Netw Learn Syst; 2024 Jan; PP():. PubMed ID: 38289837
[TBL] [Abstract][Full Text] [Related]
18. Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation.
Li J; Li R; Han R; Wang S
BMC Med Imaging; 2022 Jan; 22(1):8. PubMed ID: 35022020
[TBL] [Abstract][Full Text] [Related]
19. A Parametrical Model for Instance-Dependent Label Noise.
Yang S; Wu S; Yang E; Han B; Liu Y; Xu M; Niu G; Liu T
IEEE Trans Pattern Anal Mach Intell; 2023 Dec; 45(12):14055-14068. PubMed ID: 37540612
[TBL] [Abstract][Full Text] [Related]
20. Learning From Crowds With Multiple Noisy Label Distribution Propagation.
Jiang L; Zhang H; Tao F; Li C
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6558-6568. PubMed ID: 34057898
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]