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        AUTHOR = "Feng, Z. and Zeng, Z.M. and Guo, C. and Li, Z. and Hu, L.",
        TITLE = "Learning From Noisy Correspondence With Tri-Partition for Cross-Modal
Matching",
        JOURNAL = MultMed,
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        PAGES = "3884-3896",
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@article{bb136801,
        AUTHOR = "Lacy, F. and Ruiz Reyes, A. and Brescia, A.",
        TITLE = "Machine learning for low signal-to-noise ratio detection",
        JOURNAL = PRL,
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@article{bb136802,
        AUTHOR = "Roizman, V. and Jonckheere, M. and Pascal, F.",
        TITLE = "A Flexible EM-Like Clustering Algorithm for Noisy Data",
        JOURNAL = PAMI,
        VOLUME = "46",
        YEAR = "2024",
        NUMBER = "5",
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        PAGES = "2709-2721",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern635nl2.html#TT132833"}

@article{bb136803,
        AUTHOR = "Xia, X.B. and Lu, P.Q. and Gong, C. and Han, B. and Yu, J. and Yu, J. and Liu, T.L.",
        TITLE = "Regularly Truncated M-Estimators for Learning With Noisy Labels",
        JOURNAL = PAMI,
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        YEAR = "2024",
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        PAGES = "3522-3536",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern635nl2.html#TT132834"}

@article{bb136804,
        AUTHOR = "Wang, Y.K. and Fu, Y.W. and Sun, X.W.",
        TITLE = "Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels",
        JOURNAL = PAMI,
        VOLUME = "46",
        YEAR = "2024",
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@inproceedings{bb136805,
        AUTHOR = "Taraday, M.K. and Baskin, C.",
        TITLE = "Enhanced Meta Label Correction for Coping with Label Corruption",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "16249-16258",
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@inproceedings{bb136806,
        AUTHOR = "Yenamandra, S. and Ramesh, P. and Prabhu, V. and Hoffman, J.",
        TITLE = "FACTS: First Amplify Correlations and Then Slice to Discover Bias",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "4771-4781",
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@inproceedings{bb136807,
        AUTHOR = "Ahn, C. and Kim, K. and Baek, J.W. and Lim, J. and Han, S.J.",
        TITLE = "Sample-wise Label Confidence Incorporation for Learning with Noisy
Labels",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "1823-1832",
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@inproceedings{bb136808,
        AUTHOR = "Yuan, S. and Feng, L. and Liu, T.L.",
        TITLE = "Late Stopping: Avoiding Confidently Learning from Mislabeled Examples",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "16033-16042",
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@inproceedings{bb136809,
        AUTHOR = "Huang, H.X. and Kang, H. and Liu, S. and Salvado, O. and Rakotoarivelo, T. and Wang, D.D. and Liu, T.L.",
        TITLE = "PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for
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        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "16673-16684",
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@inproceedings{bb136810,
        AUTHOR = "Yang, H. and Wang, T.Y. and Hu, X.W. and Fu, C.W.",
        TITLE = "SILT: Shadow-aware Iterative Label Tuning for Learning to Detect
Shadows from Noisy Labels",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
        PAGES = "12641-12652",
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@inproceedings{bb136811,
        AUTHOR = "Xia, X.B. and Han, B. and Zhan, Y.B. and Yu, J. and Gong, M.M. and Gong, C. and Liu, T.L.",
        TITLE = "Combating Noisy Labels with Sample Selection by Mining
High-Discrepancy Examples",
        BOOKTITLE = ICCV23,
        YEAR = "2023",
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@inproceedings{bb136812,
        AUTHOR = "Zhang, M. and Zhao, X.Y. and Yao, J. and Yuan, C. and Huang, W.",
        TITLE = "When Noisy Labels Meet Long Tail Dilemmas:
A Representation Calibration Method",
        BOOKTITLE = ICCV23,
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@inproceedings{bb136813,
        AUTHOR = "Rabbani, N. and Bartoli, A.",
        TITLE = "Unsupervised Confidence Approximation:
Trustworthy Learning from Noisy Labelled Data",
        BOOKTITLE = Uncertainty23,
        YEAR = "2023",
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@inproceedings{bb136814,
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        BOOKTITLE = CIAP23,
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@inproceedings{bb136815,
        AUTHOR = "Joshi, A. and Das, N. and Yenigalla, P.",
        TITLE = "Product Image Representation Learning on Large Scale Noisy Datasets",
        BOOKTITLE = ICIP23,
        YEAR = "2023",
        PAGES = "2570-2574",
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@inproceedings{bb136816,
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Using Negative Log-Likelihood",
        BOOKTITLE = ICIP23,
        YEAR = "2023",
        PAGES = "2635-2639",
        BIBSOURCE = "http://www.visionbib.com/bibliography/pattern635nl2.html#TT132847"}

@inproceedings{bb136817,
        AUTHOR = "Adachi, K. and Yamaguchi, S. and Kumagai, A.",
        TITLE = "Covariance-Aware Feature Alignment with Pre-Computed Source
Statistics for Test-Time Adaptation to Multiple Image Corruptions",
        BOOKTITLE = ICIP23,
        YEAR = "2023",
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@inproceedings{bb136818,
        AUTHOR = "Tai, T.M. and Jhang, Y.J. and Hwang, W.J.",
        TITLE = "Robust Feature Learning Against Noisy Labels",
        BOOKTITLE = ICIP23,
        YEAR = "2023",
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@inproceedings{bb136819,
        AUTHOR = "Zhang, Y.Q. and Zhang, H. and Yao, Q.M. and Wan, J.",
        TITLE = "Combining Self-Supervised and Supervised Learning with Noisy Labels",
        BOOKTITLE = ICIP23,
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        PAGES = "605-609",
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@inproceedings{bb136820,
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Networks on Noisy Labels",
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@inproceedings{bb136821,
        AUTHOR = "Yu, X.T. and Jiang, Y. and Shi, T.Q. and Feng, Z.L. and Wang, Y.X. and Song, M.L. and Sun, L.",
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@inproceedings{bb136822,
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@inproceedings{bb136823,
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@inproceedings{bb136824,
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@inproceedings{bb136825,
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