2026
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
ICLR 2026poster
Deep neural networks have been increasingly used in safety-critical applications such as medical diagnosis and autonomous driving. However, many studies suggest that they are prone to being poorly calibrated and have a propensity for overconfidence, which may have disastrous consequences. In this pa…