arxivcs.LG2026-07-18
Robust Losses from Univariate Base Functions for Noisy-Label Learning
Learning with noisy labels is a fundamental problem in training reliable deep neural networks. Robust loss functions provide a direct and effective way to mitigate the adverse effects of label noise. However, most existing robust losses are designed directly at the level of the f…