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  1. SCARCE SCARCE Public

    [ICML 2024] Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical

    Python 10 1

  2. ConfDiff ConfDiff Public

    [NeurIPS'23] Binary Classification with Confidence Difference

    Python 9

  3. PLENCH PLENCH Public

    [ICLR 2025] Realistic Evaluation of Deep Partial-Label Learning Algorithms

    Python 3

  4. PLCIFAR10 PLCIFAR10 Public

    A partial-label learning dataset with human-annotated partial labels. https://openreview.net/forum?id=FtX6oAW7Dd

    1