MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler

Zhining Liu, Pengfei Wei, Jing Jiang +3

Imbalanced learning (IL), i.e., learning unbiased models from class-imbalanced data, is a challenging problem. Typical IL methods including resampling and reweighting were designed…