Confidence Calibration for Domain Generalization under Covariate Shift

1 April 2021

Papers citing "Confidence Calibration for Domain Generalization under Covariate Shift"

9 / 9 papers shown

Title
The Bayesian Confidence (BACON) Estimator for Deep Neural Networks Patrick D. Kee Max J. Brown Jonathan C. Rice Christian A. Howell UQCV 29 0 0 16 Oct 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 49 1 0 19 Apr 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration Wonjeong Choi Jun-Gyu Park Dong-Jun Han Younghyun Park Jaekyun Moon 45 1 0 22 Feb 2024
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 32 11 0 13 Apr 2023
Beyond In-Domain Scenarios: Robust Density-Aware Calibration Christian Tomani Futa Waseda Yuesong Shen Daniel Cremers UQCV 39 4 0 10 Feb 2023
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis Benjamin Lambert Florence Forbes A. Tucholka Senan Doyle Harmonie Dehaene M. Dojat 34 81 0 05 Oct 2022
Teaching Models to Express Their Uncertainty in Words Stephanie C. Lin Jacob Hilton Owain Evans OOD 35 368 0 28 May 2022
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 59 1,179 0 02 Mar 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 499 11,727 0 09 Mar 2017