Towards Accurate and Calibrated Classification: Regularizing Cross-Entropy From A Generative Perspective
arXiv:2604.06689v1 Announce Type: cross
Abstract: Accurate classification requires not only high predictive accuracy but also well-calibrated confidence estimates. Yet, modern deep neural networks (DNNs) are often overconfident, primarily due to overf…