Multi-label learning is an emerging extension of the multi-class
classif...
Labeling real-world datasets is time consuming but indispensable for
sup...
Robustness to label noise is a critical property for weakly-supervised
c...
Today's available datasets in the wild, e.g., from social media and open...
Noisy labeled data is more a norm than a rarity for self-generated conte...