Recent advances in complementary label learning

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Yingjie Tian, Haoran Jiang

Published: 01 Jan 2025, Last Modified: 15 May 2025Inf. Fusion 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The first review of complementary label learning.•A novel categorization of CLL algorithms.•Comprehensive experimental evaluation of SOTA methods.•Delve into various extensions of complementary label learning.•Elucidate the connections between CLL and other learning paradigms.