Sihao Yu

A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty

Real-world data often exhibits class-imbalanced distributions, where a few classes (a.k.a. majority classes) occupy most instances and lots of classes (a.k.a. minority classes) have few instances. Neural classification models usually perform poorly on minority classes when training on such imbalance…