Review for NeurIPS paper: Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning

Weaknesses: I have several concerns regarding this work. Firstly, I'm not entirely convinced by the need to introduce an evidence-based Dempster Schafer / Subjective logic framework. The proposed decomposition into vacuity and dissonance is essentially the same thing as decomposing into epistemic uncertainty and aleatoric uncertainty. Why not consider the tractable closed form mutual information decomposition into total, epistemic and aleatoric uncertainties which was derived in previous work? I believe that decomposition would, broadly speaking, have many of the same quantities.