Towards Principled Uncertainty Estimation for Deep Neural Networks

Richard Harang, Ethan M. Rudd

When the cost of misclassifying a sample is high, it is useful to have an accurate estimate of uncertainty in the prediction for that sample. There are also multiple types of uncer…