163 related articles for article (PubMed ID: 38309136)
21. Uncertainty-guided label correction with wavelet-transformed discriminative representation enhancement.
Wu T; Ding X; Zhang H; Tang M; Qin B; Liu T
Neural Netw; 2024 Aug; 176():106383. PubMed ID: 38781758
[TBL] [Abstract][Full Text] [Related]
22. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
Chaitanya K; Erdil E; Karani N; Konukoglu E
Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
[TBL] [Abstract][Full Text] [Related]
23. Fuzzy Clustering-Based Deep Learning for Short-Term Load Forecasting in Power Grid Systems Using Time-Varying and Time-Invariant Features.
Chan KY; Yiu KFC; Kim D; Abu-Siada A
Sensors (Basel); 2024 Feb; 24(5):. PubMed ID: 38474927
[TBL] [Abstract][Full Text] [Related]
24. Delving Deep Into Label Smoothing.
Zhang CB; Jiang PT; Hou Q; Wei Y; Han Q; Li Z; Cheng MM
IEEE Trans Image Process; 2021; 30():5984-5996. PubMed ID: 34166191
[TBL] [Abstract][Full Text] [Related]
25. Adversarially robust neural networks with feature uncertainty learning and label embedding.
Wang R; Ke H; Hu M; Wu W
Neural Netw; 2024 Apr; 172():106087. PubMed ID: 38160621
[TBL] [Abstract][Full Text] [Related]
26. Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition.
Chen T; Lin L; Chen R; Hui X; Wu H
IEEE Trans Pattern Anal Mach Intell; 2022 Mar; 44(3):1371-1384. PubMed ID: 32986543
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Robust Point Cloud Segmentation With Noisy Annotations.
Ye S; Chen D; Han S; Liao J
IEEE Trans Pattern Anal Mach Intell; 2023 Jun; 45(6):7696-7710. PubMed ID: 36449593
[TBL] [Abstract][Full Text] [Related]
29. COVID-19 chest X-ray image classification in the presence of noisy labels.
Ying X; Liu H; Huang R
Displays; 2023 Apr; 77():102370. PubMed ID: 36644695
[TBL] [Abstract][Full Text] [Related]
30. Meta-probability Weighting for Improving Reliability of DNNs to Label Noise.
Wang Z; Jin S; Li L; Dong Y; HuSenior Member Q
IEEE J Biomed Health Inform; 2023 Jan; PP():. PubMed ID: 37021899
[TBL] [Abstract][Full Text] [Related]
31. Learning From Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation.
Yi R; Huang Y; Guan Q; Pu M; Zhang R
IEEE Trans Image Process; 2022; 31():623-635. PubMed ID: 34910634
[TBL] [Abstract][Full Text] [Related]
32. Molecular property prediction by semantic-invariant contrastive learning.
Zhang Z; Xie A; Guan J; Zhou S
Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37505457
[TBL] [Abstract][Full Text] [Related]
33. RNA-binding protein recognition based on multi-view deep feature and multi-label learning.
Yang H; Deng Z; Pan X; Shen HB; Choi KS; Wang L; Wang S; Wu J
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32808039
[TBL] [Abstract][Full Text] [Related]
34. Neighborhood-Regularized Self-Training for Learning with Few Labels.
Xu R; Yu Y; Cui H; Kan X; Zhu Y; Ho J; Zhang C; Yang C
Proc AAAI Conf Artif Intell; 2023 Jun; 37(9):10611-10619. PubMed ID: 38333625
[TBL] [Abstract][Full Text] [Related]
35. Bayesian DivideMix++ for Enhanced Learning with Noisy Labels.
Nagarajan B; Marques R; Aguilar E; Radeva P
Neural Netw; 2024 Apr; 172():106122. PubMed ID: 38244356
[TBL] [Abstract][Full Text] [Related]
36. Collaborative Learning of Label Semantics and Deep Label-Specific Features for Multi-Label Classification.
Hang JY; Zhang ML
IEEE Trans Pattern Anal Mach Intell; 2021 Dec; PP():. PubMed ID: 34928787
[TBL] [Abstract][Full Text] [Related]
37. Dynamic Auxiliary Soft Labels for decoupled learning.
Wang Y; Zhang Y; Shen F; Zhao J
Neural Netw; 2022 Jul; 151():132-142. PubMed ID: 35421708
[TBL] [Abstract][Full Text] [Related]
38. Task guided representation learning using compositional models for zero-shot domain adaptation.
Liu S; Ozay M
Neural Netw; 2023 Aug; 165():370-380. PubMed ID: 37329781
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. Robust Fine-Grained Visual Recognition With Neighbor-Attention Label Correction.
Mao S; Zhang S
IEEE Trans Image Process; 2024; 33():2614-2626. PubMed ID: 38546993
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
