Gengyu Lyu

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Multi-label Learning with Partial Labels (ML-PL) learns from training data, where each sample is annotated with part of positive labels while leaving the rest of positive labels unannotated. Existing methods mainly focus on extending multi-label …