Rethinking the Harmonic Loss via Non-Euclidean Distance Layers
arXiv:2603.10225v1 Announce Type: new Abstract: Cross-entropy loss has long been the standard choice for training deep neural networks, yet it suffers from interpretability limitations, unbounded …
Maxwell Miller-Golub, Kamil Faber, Marcin Pietron, Panpan Zheng, Pasquale Minervini, Roberto Corizzo
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