Towards the Identifiability in Noisy Label Learning: A Multinomial Mixture Modelling Approach

Cuong Nguyen, Thanh-Toan Do, Gustavo Carneiro

Learning from noisy labels (LNL) is crucial in deep learning, in which one of the approaches is to identify clean-label samples from poorly-annotated datasets. Such an identificati…