AI RESEARCH
Distribution-Free Pretraining of Classification Losses via Evolutionary Dynamics
arXiv CS.LG
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ArXi:2605.03722v1 Announce Type: new 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 samples during the main loss pre