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Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines
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Ayoosh bansalHeechul yunShuochao yaoXinzhe fuLui shaSimon yuShengzhong liuTarek abdelzaherRohan tabish

Embracing Socratic Paradox May Lead to More Reliable Predictions from AI Models

Next-generation artificial intelligence (AI) models used in public health, IoT, and other critical applications will soon be able to make better

United statesChao zhangShuochao yaoB aditya prakashGeorge mason universitySchool of computational scienceFacebook research awardCollaborative researchFacebook researchNational science foundationComputational sciencePrincipled uncertainty quantificationDeep learning modelsTime series analysisImproving insightsNon parametric methods