2025
Noise Separation guided Candidate Label Reconstruction for Noisy Partial Label Learning
ICLR 2025poster
Partial label learning is a weakly supervised learning problem in which an instance is annotated with a set of candidate labels, among which only one is the correct label. However, in practice the correct label is not always in the candidate label set, leading to the noisy partial label learning (NP…