2022
Stochastic smoothing of the top-K calibrated hinge loss for deep imbalanced classification
ICML 2022spotlight
In modern classification tasks, the number of labels is getting larger and larger, as is the size of the datasets encountered in practice. As the number of classes increases, class ambiguity and class imbalance become more and more problematic to achieve high top-1 accuracy. Meanwhile, Top-K metrics…