Calibration tests in multi-class classification: A unifying framework

24 October 2019

Fredrik Lindsten

Papers citing "Calibration tests in multi-class classification: A unifying framework"

23 / 23 papers shown

Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 71 1 0 24 Feb 2025
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Geospatial Disparities: A Case Study on Real Estate Prices in Paris Agathe Fernandes Machado Franccois Hu Philipp Ratz E. Gallic Arthur Charpentier 30 1 0 29 Jan 2024
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 16 2 0 16 Oct 2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection Pedro Conde Rui L. Lopes C. Premebida UQCV 13 1 0 01 Sep 2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks Pedro Conde T. Barros Rui L. Lopes C. Premebida U. J. Nunes UQCV 19 7 0 11 Apr 2023
UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts Pratinav Seth Mihir Agarwal AI4MH 16 1 0 10 Apr 2023
Stop Measuring Calibration When Humans Disagree Joris Baan Wilker Aziz Barbara Plank Raquel Fernández 24 53 0 28 Oct 2022
Useful Confidence Measures: Beyond the Max Score G. Yona Amir Feder Itay Laish 81 5 0 25 Oct 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 25 17 0 21 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 21 16 0 25 Aug 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 17 42 0 25 Mar 2022
On the Usefulness of the Fit-on-the-Test View on Evaluating Calibration of Classifiers Markus Kängsepp Kaspar Valk Meelis Kull 27 3 0 16 Mar 2022
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration Shengjia Zhao Michael P. Kim Roshni Sahoo Tengyu Ma Stefano Ermon 17 55 0 12 Jul 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 37 21 0 17 Jun 2021
Distribution-free calibration guarantees for histogram binning without sample splitting Chirag Gupta Aaditya Ramdas 11 37 0 10 May 2021
Local Calibration: Metrics and Recalibration Rachel Luo Aadyot Bhatnagar Yu Bai Shengjia Zhao Huan Wang Caiming Xiong Silvio Savarese Stefano Ermon Edward Schmerling Marco Pavone 16 14 0 22 Feb 2021
Combining Ensembles and Data Augmentation can Harm your Calibration Yeming Wen Ghassen Jerfel Rafael Muller Michael W. Dusenberry Jasper Snoek Balaji Lakshminarayanan Dustin Tran UQCV 26 63 0 19 Oct 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 24 18 0 20 Jun 2020
Distribution-free binary classification: prediction sets, confidence intervals and calibration Chirag Gupta A. Podkopaev Aaditya Ramdas UQCV 23 79 0 18 Jun 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip H. S. Torr P. Dokania UQCV 32 444 0 21 Feb 2020
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 22 345 0 23 Sep 2019