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2011.04182
Cited By

Improving Classifier Confidence using Lossy Label-Invariant
Transformations

Improving Classifier Confidence using Lossy Label-Invariant Transformations

9 November 2020

ArXiv (abs)PDF HTML

Papers citing "Improving Classifier Confidence using Lossy Label-Invariant Transformations"

3 / 3 papers shown

Exploring Covariate and Concept Shift for Detection and Calibration of
Out-of-Distribution Data

Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data

366

8

0

28 Oct 2021

Confidence Calibration with Bounded Error Using Transformations

Confidence Calibration with Bounded Error Using Transformations

Radoslav Ivanov

216

3

0

25 Feb 2021

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

Parameterized Temperature Scaling for Boosting the Expressive Power in Post-Hoc Uncertainty CalibrationEuropean Conference on Computer Vision (ECCV), 2021

Christian Tomani

Florian Buettner

293

55

0

24 Feb 2021

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