Quantifying Intrinsic Uncertainty in Classification via Deep Dirichlet Mixture Networks

Qingyang Wu, He Li, Lexin Li +1

With the widespread success of deep neural networks in science and technology, it is becoming increasingly important to quantify the uncertainty of the predictions produced by deep…