One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification
One Versus All for Deep Neural Network for Uncertainty (OVNNI) Quantification
Deep neural networks (DNNs) are powerful learning models yet their results are not always reliable. This drawback results from the fact that modern DNNs are usually overconfident, and consequently their epistemic uncertainty cannot be straightforwardly characterized. In this work, we propose a new technique to quantify the epistemic uncertainty of …