Xuhuan Zhu

Confidence-Aware With Prototype Alignment for Partial Multi-label Learning

Label prototype learning has emerged as an effective paradigm in Partial Multi-Label Learning (PML), providing a distinctive framework for modeling structured representations of label semantics while naturally filtering noise through prototype-based label confidence estimation. However, existing pro…