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News/Minimax Generalized Cross-Entropy
arxiv
PublishedApril 29, 2026 at 4:00 AM

Minimax Generalized Cross-Entropy

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Publisher summary· verbatim

arXiv:2603.19874v3 Announce Type: replace-cross Abstract: 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, gen

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