Calibration-Aware Uncertainty Cascades for Efficient Heterogeneous Model Collaboration
Calibration-Aware Uncertainty Cascades is proposed, a simple post-hoc framework that independently calibrates each model's confidence and selects deployment policies using validation data and shows theoretically that calibration gives confidence thresholds an explicit selective-risk interpretation, whereas uncalibrated...
Yi-Lin Zhang, Han Jiang, Cai Xu et al.
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