Rethinking the Harmonic Loss via Non-Euclidean Distance Layers

Maxwell Miller-Golub, Collin Coil, Kamil Faber +4

Cross-entropy loss has long been the standard choice for training deep neural networks, yet it suffers from interpretability limitations, unbounded weight growth, and inefficiencie…