Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics
arXiv:2605.03722v1 Announce Type: new
Abstract: We propose Evolutionary Dynamic Loss (EDL), a framework that learns a transferable classification loss in the probability space using unlimited synthetic prediction-label pairs, without accessing real sa…