Soft Calibration Objectives for Neural Networks

30 July 2021

A. Karandikar

Nicholas Cain

Dustin Tran

Balaji Lakshminarayanan

Papers citing "Soft Calibration Objectives for Neural Networks"

25 / 25 papers shown

Title
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference Jiayi Huang Sangwoo Park Osvaldo Simeone 108 2 0 03 Jan 2025
Confidence Calibration of Classifiers with Many Classes Adrien LeCoz Stéphane Herbin Faouzi Adjed UQCV 37 1 0 05 Nov 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks Cornelius Emde Francesco Pinto Thomas Lukasiewicz Philip Torr Adel Bibi AAML 45 0 0 22 May 2024
Multi-View Conformal Learning for Heterogeneous Sensor Fusion Enrique Garcia-Ceja 37 1 0 19 Feb 2024
LiRank: Industrial Large Scale Ranking Models at LinkedIn Fedor Borisyuk Mingzhou Zhou Qingquan Song Siyu Zhu B. Tiwana ... Chen-Chen Jiang Haichao Wei Maneesh Varshney Amol Ghoting Souvik Ghosh 29 1 0 10 Feb 2024
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation Yaxuan Song Jianan Fan Dongnan Liu Weidong Cai 23 0 0 09 Feb 2024
Calibration by Distribution Matching: Trainable Kernel Calibration Metrics Charles Marx Sofian Zalouk Stefano Ermon 27 6 0 31 Oct 2023
Expert load matters: operating networks at high accuracy and low manual effort Sara Sangalli Ertunc Erdil E. Konukoglu 14 4 0 09 Aug 2023
Model Calibration in Dense Classification with Adaptive Label Perturbation Jiawei Liu Changkun Ye Shanpeng Wang Rui-Qing Cui Jing Zhang Kai Zhang Nick Barnes 47 5 0 25 Jul 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 34 2 0 05 Jul 2023
Dual Focal Loss for Calibration Linwei Tao Minjing Dong Chang Xu UQCV 47 26 0 23 May 2023
ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure Hee Suk Yoon Joshua Tian Jin Tee Eunseop Yoon Sunjae Yoon G. Kim Yingzhen Li Changdong Yoo UQCV MQ 20 8 0 04 Mar 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 14 5 0 13 Feb 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 35 0 0 27 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution Detection Yeonguk Yu Sungho Shin Seongju Lee C. Jun Kyoobin Lee OODD 25 31 0 05 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim M. Alabdulmohsin 78 2 0 18 Nov 2022
Exploring Predictive Uncertainty and Calibration in NLP: A Study on the Impact of Method & Data Scarcity Dennis Ulmer J. Frellsen Christian Hardmeier 195 22 0 20 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 29 16 0 25 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 35 13 0 31 Jul 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 35 366 0 28 May 2022
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 43 21 0 17 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 21 31 0 09 Jun 2021
Improving model calibration with accuracy versus uncertainty optimization R. Krishnan Omesh Tickoo UQCV 188 157 0 14 Dec 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016