RRISE trains a surrogate against precomputed MC targets and uses conformal calibration to deliver certified radii matching fixed-budget MC accuracy within 0.84 points while using one forward pass instead of up to 10^4 evaluations.
arXiv preprint arXiv:2305.15508 , year=
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SSL pretraining enhances calibrated confidence and selective performance in DR screening, yet benefits on reliability plateau and longer pretraining does not reliably improve abstention.
citing papers explorer
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RRISE: Robust Radius Inference via a Surrogate Estimator
RRISE trains a surrogate against precomputed MC targets and uses conformal calibration to deliver certified radii matching fixed-budget MC accuracy within 0.84 points while using one forward pass instead of up to 10^4 evaluations.
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Knowing When Not to Predict: Self Supervised Learning and Abstention for Safer DR Screening
SSL pretraining enhances calibrated confidence and selective performance in DR screening, yet benefits on reliability plateau and longer pretraining does not reliably improve abstention.