Post-hoc Uncertainty Calibration for Domain Drift Scenarios

Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem +2

We address the problem of uncertainty calibration. While standard deep neural networks typically yield uncalibrated predictions, calibrated confidence scores that are representativ…