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        BOOKTITLE = "ICPR22",
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        TITLE = "DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision",
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@inproceedings{bb132903,
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        TITLE = "A Data-Centric Approach for Improving Ambiguous Labels with Combined
Semi-supervised Classification and Clustering",
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@inproceedings{bb132904,
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@inproceedings{bb132905,
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        TITLE = "Multi-Step Test-Time Adaptation with Entropy Minimization and
Pseudo-Labeling",
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@inproceedings{bb132906,
        AUTHOR = "Tang, H. and Sun, L. and Jia, K.",
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Consistency of Stochastic Classifiers",
        BOOKTITLE = ECCV22,
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@inproceedings{bb132907,
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        TITLE = "Towards Realistic Semi-supervised Learning",
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@inproceedings{bb132908,
        AUTHOR = "Yuan, X.K. and Li, Z.L. and Wang, G.",
        TITLE = "ActiveMatch: End-To-End Semi-Supervised Active Representation
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@inproceedings{bb132909,
        AUTHOR = "Hu, H.T. and Xie, L.X. and Huo, X.Y. and Hong, R.C. and Tian, Q.",
        TITLE = "Vibration-Based Uncertainty Estimation for Learning from Limited
Supervision",
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@inproceedings{bb132910,
        AUTHOR = "Wang, X.D. and Lian, L. and Yu, S.X.",
        TITLE = "Unsupervised Selective Labeling for More Effective Semi-supervised
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@inproceedings{bb132911,
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        TITLE = "RDA: Reciprocal Distribution Alignment for Robust Semi-supervised
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@inproceedings{bb132912,
        AUTHOR = "Kim, J. and Min, Y. and Kim, D. and Lee, G. and Seo, J. and Ryoo, K. and Kim, S.",
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Regularization",
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@inproceedings{bb132913,
        AUTHOR = "He, X.L. and Liu, H.B. and Gong, N.Z.Q. and Zhang, Y.",
        TITLE = "Semi-Leak: Membership Inference Attacks Against Semi-supervised
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@inproceedings{bb132914,
        AUTHOR = "Rizve, M.N. and Kardan, N. and Khan, S. and Khan, F.S. and Shah, M.",
        TITLE = "OpenLDN: Learning to Discover Novel Classes for Open-World
Semi-Supervised Learning",
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@inproceedings{bb132915,
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        TITLE = "Exploring the Equivalence of Siamese Self-Supervised Learning via A
Unified Gradient Framework",
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@inproceedings{bb132916,
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@inproceedings{bb132917,
        AUTHOR = "Zhang, T. and Qiu, C. and Ke, W. and Susstrunk, S. and Salzmann, M.",
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A New Self-Supervised Learning Strategy",
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@inproceedings{bb132918,
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@inproceedings{bb132919,
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Scarce Labeled Samples",
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@inproceedings{bb132920,
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@inproceedings{bb132921,
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@inproceedings{bb132922,
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@inproceedings{bb132923,
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@inproceedings{bb132925,
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Multiclass-Imbalanced Semi-supervised Learning",
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@inproceedings{bb132927,
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@inproceedings{bb132928,
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@inproceedings{bb132929,
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@inproceedings{bb132930,
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@inproceedings{bb132931,
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@inproceedings{bb132932,
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@inproceedings{bb132933,
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@inproceedings{bb132934,
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@inproceedings{bb132935,
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@inproceedings{bb132936,
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@inproceedings{bb132937,
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@inproceedings{bb132938,
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@inproceedings{bb132954,
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@inproceedings{bb132955,
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@inproceedings{bb132956,
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@inproceedings{bb132957,
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@inproceedings{bb132963,
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@inproceedings{bb132964,
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@inproceedings{bb132966,
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@inproceedings{bb132967,
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@inproceedings{bb132968,
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@inproceedings{bb132969,
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@inproceedings{bb132970,
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@inproceedings{bb132973,
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@inproceedings{bb132974,
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@inproceedings{bb132975,
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Approximate Anchors Embedding",
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@inproceedings{bb132976,
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@inproceedings{bb132994,
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@inproceedings{bb132996,
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@inproceedings{bb132997,
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@inproceedings{bb132998,
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@inproceedings{bb132999,
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