Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences

Seonguk Seo, Paul Hongsuck Seo, Bohyung Han

We propose a generic framework to calibrate accuracy and confidence of a prediction in deep neural networks through stochastic inferences. We interpret stochastic regularization us…