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Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty Calibration

Christian Tomani, Daniel Cremers, Florian Buettner

2022Lecture notes in computer science24 citationsDOI

Topics & Concepts

Parameterized complexityComputer scienceBoosting (machine learning)ScalingCalibrationArtificial neural networkDeep neural networksSource codeExpressive powerCode (set theory)AlgorithmArtificial intelligenceMachine learningTheoretical computer scienceSet (abstract data type)StatisticsMathematicsProgramming languageGeometryAnomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine LearningHuman Pose and Action Recognition
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