Plug-in Losses Unify Softmax and Evidential Deep Learning for Uncertainty Estimation
arXiv·low signal
Shows that the standard softmax classifier is a special case of evidential deep learning, providing a simplified framework for uncertainty estimation. Offers drop-in loss functions that give calibrated uncertainty without requiring architectural changes — directly useful for safety-critical sensor-based systems. Evaluated on real-world audio classification tasks.