AI RESEARCH
Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification
arXiv CS.LG
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ArXi:2604.06032v1 Announce Type: cross Neural network classifiers trained with cross-entropy loss achieve strong predictive accuracy but lack the capability to provide inherent predictive uncertainty estimates, thus requiring external techniques to obtain these estimates. In addition, softmax scores for the true class can vary substantially across independent