A unified framework is developed for co-designing reliability and efficiency to enable efficient reliable inference with trustworthy uncertainty quantification in AI models.
Uncertainty datasetDunl ood is constructed by randomly choosing 6,000 input data from TinyImageNet
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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.