Ya-Hong Zhao

Augmenting Graph-Based Partial Label Learning with Predictive Representations

Partial label learning (PLL) addresses the problem of learning from training examples with candidate label sets, where only one label is ground-truth. The key challenge lies in disambiguating the candidate labels while learning an accurate classifier. Graph-based PLL methods have emerged as a mainstream paradigm, which...