Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics

Meng Xiang, Yan Pei

We propose Evolutionary Dynamic Loss (EDL), a framework that learns a transferable classification loss in the probability space using unlimited synthetic prediction-label pairs, wi…