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iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
Author(s) -
Ramneet Kaur,
Susmit Jha,
Anirban Roy,
Sangdon Park,
Edgar Dobriban,
Oleg Sokolsky,
Insup Lee
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i7.20670
Subject(s) - computer science , conformal map , anomaly detection , code (set theory) , measure (data warehouse) , bounded function , artificial intelligence , pattern recognition (psychology) , deep neural networks , distribution (mathematics) , artificial neural network , data mining , machine learning , mathematics , mathematical analysis , set (abstract data type) , programming language

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