Conf-OT applies transductive optimal transport to CLIP logits to produce smaller conformal prediction sets while keeping empirical coverage near the desired level.
Transductive infor- mation maximization for few-shot learning
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Conformal Prediction for Zero-Shot Models
Conf-OT applies transductive optimal transport to CLIP logits to produce smaller conformal prediction sets while keeping empirical coverage near the desired level.