Conformal prediction quantifies uncertainty in learning-to-defer rejectors, enabling abstention and human-model consensus workflows for image and hate-speech classification.
Feb 1, 2026
NeurIPS 2024 workshop paper on conformal uncertainty sets for learning-to-defer rejectors, with abstention and human-model consensus on object and hate-speech detection tasks.
Dec 1, 2024