Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown
arXiv:2604.12245v1 Announce Type: cross
Abstract: Deep neural networks, despite their high accuracy, often exhibit poor confidence calibration, limiting their reliability in high-stakes applications. Current ad-hoc confidence calibration methods attem…