Author name: Tan-Ha Mai, Chao-Kai Chiang, Han-Hwa Shih, Gang Niu, Masashi Sugiyama, Hsuan-Tien Lin

arXiv:2605.15586v2 Announce Type: replace-cross
Abstract: Complementary-label learning (CLL) is a weakly supervised paradigm where instances are labeled with classes they do not belong to. Despite a decade of research, CLL methods remain competitive m…

arXiv:2605.15586v1 Announce Type: cross
Abstract: Complementary-label learning (CLL) is a weakly supervised paradigm where instances are labeled with classes they do not belong to. Despite a decade of research, CLL methods remain competitive mainly on…