Distance-Based Learning from Errors for Confidence Calibration

Chen Xing, Sercan Arik, Zizhao Zhang +1

Deep neural networks (DNNs) are poorly calibrated when trained in conventional ways. To improve confidence calibration of DNNs, we propose a novel training method, distance-based l…