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20232026
most citedCLImage: Human-Annotated Datasets for Complementary-Label Learning

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2026

FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology

Anh-Tien Nguyen, Trung DQ. Dang, Nghiem Tuong Diep +9

Pathology vision-language foundation models vary in performance across diseases and tasks, with no single model consistently performing best. The high cost of expert pathology anno…

cs.LG2026

Embracing Biased Transition Matrices for Complementary-Label Learning with Many Classes

Tan-Ha Mai, Chao-Kai Chiang, Han-Hwa Shih +3

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…