Tsui-Wei Lily Weng

One Step Closer to Unbiased Aleatoric Uncertainty Estimation

Neural networks are powerful tools in various applications, and quantifying their uncertainty is crucial for reliable decision-making. In the deep learning field, the uncertainties are usually categorized into aleatoric (data) and epistemic (model) uncertainty. In this paper, we point out that the e…