AI RESEARCH
Rethinking Vacuity for OOD Detection in Evidential Deep Learning
arXiv CS.AI
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ArXi:2605.06382v1 Announce Type: new Vacuity, or Uncertainty Mass (UM), is commonly used as a metric to evaluate Out-of-Distribution (OOD) detection in Evidential Deep Learning (EDL). It generally involves dividing the number of classes ($K$) by the total strength of belief ($S$) of the model's predictions, where $S$ is derived from summing the Dirichlet parameters. As such, UM is sensitive to the cardinality of $K