Transferable Calibration with Lower Bias and Variance in Domain
Adaptation

Transferable Calibration with Lower Bias and Variance in Domain Adaptation

16 July 2020

Ximei Wang

Michael I. Jordan

Papers citing "Transferable Calibration with Lower Bias and Variance in Domain Adaptation"

11 / 11 papers shown

Title
Comparing Uncertainty Measurement and Mitigation Methods for Large Language Models: A Systematic Review Toghrul Abbasli Kentaroh Toyoda Yuan Wang Leon Witt Muhammad Asif Ali Yukai Miao Dan Li Qingsong Wei UQCV 92 0 0 25 Apr 2025
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 41 1 0 19 Apr 2024
Towards Calibrated Deep Clustering Network Yuheng Jia Jianhong Cheng Hui Liu Junhui Hou UQCV 45 1 0 04 Mar 2024
IW-GAE: Importance Weighted Group Accuracy Estimation for Improved Calibration and Model Selection in Unsupervised Domain Adaptation Taejong Joo Diego Klabjan 33 1 0 16 Oct 2023
Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution Jiahao Chen Bingyue Su 30 10 0 13 Apr 2023
Uncertainty Modeling for Out-of-Distribution Generalization Xiaotong Li Yongxing Dai Yixiao Ge Jun Liu Ying Shan Ling-Yu Duan OODD OOD 18 175 0 08 Feb 2022
PAC Prediction Sets Under Covariate Shift Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 27 42 0 17 Jun 2021
On Calibration and Out-of-domain Generalization Yoav Wald Amir Feder D. Greenfeld Uri Shalit OODD 18 151 0 20 Feb 2021
Cross-regional oil palm tree counting and detection via multi-level attention domain adaptation network Juepeng Zheng H. Fu Weijia Li Wenzhao Wu Yi Zhao Runmin Dong Le Yu 17 65 0 26 Aug 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015