TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification

Xue Li, Wei Shen, Denis Charles

In this paper, we propose TEDL, a two-stage learning approach to quantify uncertainty for deep learning models in classification tasks, inspired by our findings in experimenting wi…