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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"

21 / 71 papers shown

Title
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts H. Bui Anqi Liu OOD UQCV 185 6 0 13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors Linwei Tao Minjing Dong Daochang Liu Changming Sun Chang Xu BDL UQCV 60 5 0 13 Feb 2023
An Operational Perspective to Fairness Interventions: Where and How to Intervene Brian Hsu Xiaotong Chen Ying Han Hongseok Namkoong Kinjal Basu 61 1 0 03 Feb 2023
Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation Weijian Deng Yumin Suh Stephen Gould Liang Zheng UQCV 81 13 0 02 Feb 2023
On the Within-Group Fairness of Screening Classifiers Nastaran Okati Stratis Tsirtsis Manuel Gomez Rodriguez 100 2 0 31 Jan 2023
Annealing Double-Head: An Architecture for Online Calibration of Deep Neural Networks Erdong Guo D. Draper Maria de Iorio 76 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 79 35 0 05 Dec 2022
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 98 41 0 30 Nov 2022
Class Adaptive Network Calibration Bingyuan Liu Jérôme Rony Adrian Galdran Jose Dolz Ismail Ben Ayed 94 10 0 28 Nov 2022
Layer-Stack Temperature Scaling Amr Khalifa Michael C. Mozer Hanie Sedghi Behnam Neyshabur Ibrahim Alabdulmohsin 146 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 264 23 0 20 Oct 2022
Calibrated Selective Classification Adam Fisch Tommi Jaakkola Regina Barzilay 87 17 0 25 Aug 2022
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks Sérgio A. Balanya Juan Maroñas Daniel Ramos OOD 83 15 0 31 Jul 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging Riqiang Gao Thomas Z. Li Yucheng Tang Zhoubing Xu M. Kammer S. Antic K. Sandler Fabien Maldonado Thomas A. Lasko Bennett Landman OOD 75 1 0 17 Jun 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 131 425 0 28 May 2022
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks Zhen Lin Shubhendu Trivedi Jimeng Sun 62 5 0 15 Feb 2022
An Underexplored Dilemma between Confidence and Calibration in Quantized Neural Networks Guoxuan Xia Sangwon Ha Tiago Azevedo Partha P. Maji UQCV 36 1 0 10 Nov 2021
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error Ondrej Bohdal Yongxin Yang Timothy M. Hospedales UQCV OOD 108 23 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 91 32 0 09 Jun 2021
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection Xin Dong Junfeng Guo Ang Li W. Ting Cong Liu H. T. Kung OODD 119 59 0 23 Apr 2021
Mitigating Bias in Calibration Error Estimation Rebecca Roelofs Nicholas Cain Jonathon Shlens Michael C. Mozer 100 95 0 15 Dec 2020