Generative data augmentation, which scales datasets by obtaining fake la...
Macro-AUC is the arithmetic mean of the class-wise AUCs in multi-label
l...
A large-scale deep model pre-trained on massive labeled or unlabeled dat...
Deep Ensemble (DE) is an effective alternative to Bayesian neural networ...
Zeroth-order (ZO) optimization is widely used to handle challenging task...
Recently, the (gradient-based) bilevel programming framework is widely u...
(Partial) ranking loss is a commonly used evaluation measure for multi-l...
Various evaluation measures have been developed for multi-label
classifi...
Multi-label classification studies the task where each example belongs t...