Intra Order-preserving Functions for Calibration of Multi-Class Neural
Networks

Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks

15 March 2020

Amirreza Shaban

Richard I. Hartley

Papers citing "Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks"

15 / 15 papers shown

Title
Optimizing Estimators of Squared Calibration Errors in Classification Sebastian G. Gruber Francis Bach 69 1 0 24 Feb 2025
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling Jinzong Dong Zhaohui Jiang Dong Pan Haoyang Yu 56 0 0 14 Dec 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 63 4 0 12 Oct 2024
Revisiting Confidence Estimation: Towards Reliable Failure Prediction Fei Zhu Xu-Yao Zhang Zhen Cheng Cheng-Lin Liu UQCV 46 10 0 05 Mar 2024
Temperature-scaling surprisal estimates improve fit to human reading times -- but does it do so for the "right reasons"? Tong Liu Iza vSkrjanec Vera Demberg 40 5 0 15 Nov 2023
Scaling of Class-wise Training Losses for Post-hoc Calibration Seungjin Jung Seung-Woo Seo Yonghyun Jeong Jongwon Choi 29 3 0 19 Jun 2023
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 30 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 17 7 0 11 Apr 2023
Rethinking Confidence Calibration for Failure Prediction Fei Zhu Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu UQCV 14 39 0 06 Mar 2023
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 35 13 0 31 Jul 2022
SLOVA: Uncertainty Estimation Using Single Label One-Vs-All Classifier Bartosz Wójcik J. Grela Marek Śmieja Krzysztof Misztal Jacek Tabor UQCV 31 4 0 28 Jun 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
Exploring Covariate and Concept Shift for Detection and Calibration of Out-of-Distribution Data Junjiao Tian Yen-Change Hsu Yilin Shen Hongxia Jin Z. Kira OODD 19 6 0 28 Oct 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 13 151 0 20 Feb 2021
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 282 9,136 0 06 Jun 2015