A unified framework is developed for co-designing reliability and efficiency to enable efficient reliable inference with trustworthy uncertainty quantification in AI models.
3.6.1, we choose CIFAR- 100 dataset [91] for the ID samples, which is a dataset composed of60,000 images each with label information chosen among100different classes
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Foundations of Reliable Inference: Reliability-Efficiency Co-Design
A unified framework is developed for co-designing reliability and efficiency to enable efficient reliable inference with trustworthy uncertainty quantification in AI models.