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Keyword

label correction

Description: A machine-learning process that identifies and revises incorrect or uncertain target labels in training data, including labels affected by noise or partial annotation.
OpenAlex ID: keywords/label-correction
Joint Optimization Framework for Learning with Noisy Labels
2018 · Daiki Tanaka, Daiki Ikami, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 734
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Meta Label Correction for Noisy Label Learning
2021 · Guoqing Zheng, Ahmed Hassan Awadallah, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 203
Hard Sample Aware Noise Robust Learning for Histopathology Image Classification
2021 · Chuang Zhu, Wenkai Chen, et al. · IEEE Transactions on Medical Imaging · 136
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Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification
2020 · Yansheng Li, Yongjun Zhang, et al. · IEEE Transactions on Cybernetics · 135
Robust Federated Learning With Noisy Labels
2022 · Seunghan Yang, Hyoungseob Park, et al. · IEEE Intelligent Systems · 117
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Learning with Feature-Dependent Label Noise: A Progressive Approach
2021 · Zhang, Yikai, Zheng, Songzhu, et al. · arXiv (Cornell University) · 108
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On defending against label flipping attacks on malware detection systems
2020 · Rahim Taheri, Reza Javidan, et al. · Neural Computing and Applications · 101
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Decontamination of Training Samples for Supervised Pattern Recognition Methods
2000 · Ricardo Barandela, Eduardo Gasca · Lecture notes in computer science · 81
Error-Bounded Correction of Noisy Labels
2020 · Zheng, Songzhu, Wu, Pengxiang, et al. · arXiv (Cornell University) · 80
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Online human activity recognition employing hierarchical hidden Markov models
2019 · Parviz Asghari, Elnaz Soleimani, et al. · Journal of Ambient Intelligence and Humanized Computing · 78
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Learning to Purify Noisy Labels via Meta Soft Label Corrector
2021 · Yichen Wu, Jun Shu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 71
Interactive Correction of Mislabeled Training Data
2019 · Shouxing Xiang, Xi Ye, et al. · IEEE Conference on Visual Analytics Science and Technology (VAST) · 63
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets
2022 · Yingsong Huang, Bing Bai, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 60
Learning from Noisy Labels with Decoupled Meta Label Purifier
2023 · Yuanpeng Tu, Boshen Zhang, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 58
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Bridged Refinement for Transfer Learning
2007 · Dikan Xing, Wenyuan Dai, et al. · Lecture notes in computer science · 58
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Training Set Debugging Using Trusted Items
2018 · Xuezhou Zhang, Xiaojin Zhu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 56
Co-Correcting: Noise-Tolerant Medical Image Classification via Mutual Label Correction
2021 · Jiarun Liu, Ruirui Li, et al. · IEEE Transactions on Medical Imaging · 55
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Inaccurate Labels in Weakly-Supervised Deep Learning: Automatic Identification and Correction and Their Impact on Classification Performance
2020 · Degan Hao, Lei Zhang, et al. · IEEE Journal of Biomedical and Health Informatics · 55
Learning with Noisy Labels for Robust Point Cloud Segmentation
2021 · Shuquan Ye, Dongdong Chen, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 51
Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification
2019 · Si Wu, Jichang Li, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 50
Multi-label Feature Selection via Information Gain
2014 · Ling Li, Huawen Liu, et al. · Lecture notes in computer science · 50
SELC: Self-Ensemble Label Correction Improves Learning with Noisy Labels
2022 · Yangdi Lu, Wenbo He · International Joint Conference on Artificial Intelligence · 47
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Recognition From Web Data: A Progressive Filtering Approach
2018 · Jufeng Yang, Xiaoxiao Sun, et al. · IEEE Transactions on Image Processing · 42
Like draws to like: A Multi-granularity Ball-Intra Fusion approach for fault diagnosis models to resists misleading by noisy labels
2024 · Fir Dunkin, Xinde Li, et al. · Advanced Engineering Informatics · 40
Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation
2020 · Cheng Xue, Qiao Deng, et al. · Lecture notes in computer science · 40
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Works count: 552
Citation count: 5,313
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