AI RESEARCH
Socrates Loss: Unifying Confidence Calibration and Classification by Leveraging the Unknown
arXiv CS.AI
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ArXi:2604.12245v1 Announce Type: cross 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 attempt to fix this during