Few-shot learning aims to transfer the knowledge acquired from training ...
Indices quantifying the performance of classifiers under class-imbalance...
Constructing adversarial perturbations for deep neural networks is an
im...
Class imbalance is a long-standing problem relevant to a number of real-...
The diversification (generating slightly varying separating discriminato...