Marco Romanelli

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection

2023 · arXiv (Cornell University)

Misclassification detection is an important problem in machine learning, as it allows for the identification of instances where the model's predictions are unreliable. However, conventional uncertainty measures such as Shannon entropy do not provide an …