Dropout Strikes Back: Improved Uncertainty Estimation via Diversity Sampling

Kirill Fedyanin, Evgenii Tsymbalov, Maxim Panov

Uncertainty estimation for machine learning models is of high importance in many scenarios such as constructing the confidence intervals for model predictions and detection of out-…