ArXiv TLDR

Weijun Lv

2 papers · Latest:

Machine Learning

Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning

WSC-PML introduces a novel weakly-supervised clustering method for partial multi-label learning, effectively handling label noise through matrix decomposition.

2604.09359
Machine Learning

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning

PML-MA aligns features and labels as modalities, using pseudo-labels and prototype learning to robustly handle noisy data in partial multi-label learning.

2604.09064

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