AI RESEARCH
VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning
arXiv CS.AI
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ArXi:2604.08639v1 Announce Type: cross Uncertainty quantification (UQ) is essential for deploying deep learning models in safety critical applications, yet no consensus exists on which UQ method performs best across different data modalities and distribution shifts.