AI RESEARCH
Minimax Generalized Cross-Entropy
arXiv CS.LG
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ArXi:2603.19874v1 Announce Type: cross Loss functions play a central role in supervised classification. Cross-entropy (CE) is widely used, whereas the mean absolute error (MAE) loss can offer robustness but is difficult to optimize. Interpolating between the CE and MAE losses, generalized cross-entropy (GCE) has recently been