most citedTwo Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration

2 citations · 2 across the 3 of their papers we have counts for

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cs.AI2023

Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection

Shuang Ao, Stefan Rueger, Advaith Siddharthan

Failure detection (FD) in AI systems is a crucial safeguard for the deployment for safety-critical tasks. The common evaluation method of FD performance is the Risk-coverage (RC) c…