Top-label calibration and multiclass-to-binary reductions

18 July 2021

Papers citing "Top-label calibration and multiclass-to-binary reductions"

13 / 13 papers shown

Title
Three Types of Calibration with Properties and their Semantic and Formal Relationships Rabanus Derr Jessie Finocchiaro Robert C. Williamson 38 0 0 25 Apr 2025
Similarity-Distance-Magnitude Universal Verification Allen Schmaltz UQCV AAML 149 0 0 27 Feb 2025
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 77 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
Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Luca Mossina Joseba Dalmau Léo Andéol UQCV 40 12 0 16 Apr 2024
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 32 5 0 18 May 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 24 7 0 11 Apr 2023
Class-wise and reduced calibration methods Michael Panchenko Anes Benmerzoug Miguel de Benito Delgado 16 0 0 07 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
Faster online calibration without randomization: interval forecasts and the power of two choices Chirag Gupta Aaditya Ramdas 18 4 0 27 Apr 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 8 7 0 16 Feb 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 21 42 0 08 Feb 2022
Tracking the risk of a deployed model and detecting harmful distribution shifts A. Podkopaev Aaditya Ramdas 29 22 0 12 Oct 2021