Unverified50% confidenceFactExact time
The lower confidence bound is the mathematical backbone of CARE's certification method: it gives a confidence lower bound on the success rate via the binomial distribution or the Clopper-Pearson interval, and the smaller the calibration set, the more conservative the lower bound and the fewer acceleration tiers are available.
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10/18/2026
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UnverifiedConfidence values typically originate from the model's softmax probability distribution over each option — a large probability gap yields a high confidence value, while a uniform distribution yields a low one.69% similarUnverifiedUsing a lightweight verification model or classifier much smaller than the main model to judge output credibility can keep VRAM overhead to a minimum.68% similarUnverifiedFID measures the statistical distance between the generated distribution and the real distribution, with lower values being better, but it is heavily influenced by the feature extractor and sample size, and fluctuates noticeably on small datasets.68% similarUnverifiedThe paper claims that its analysis makes weaker assumptions about the data distribution and has a broader scope of applicability.67% similarUnverifiedThe confidence score distribution of a healthy classification model typically exhibits a bimodal shape with high values at both ends and low in the middle; when the model degrades, it converges toward the middle into a flat shape, and this shape change is earlier and more sensitive than mean drift66% similar
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