Unlabelled Data Improves Bayesian Uncertainty Calibration under
Covariate Shift

Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift

26 June 2020

Papers citing "Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift"

10 / 10 papers shown

Title
Efficient Learning Under Density Shift in Incremental Settings Using Cramér-Rao-Based Regularization Behraj Khan Behroz Mirza Nouman Durrani T. Syed 60 0 0 18 Feb 2025
GeoConformal prediction: a model-agnostic framework of measuring the uncertainty of spatial prediction Xiayin Lou Peng Luo Liqiu Meng 87 0 0 05 Dec 2024
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abhinit Kumar Ambastha Tze-Yun Leong CLL OOD 15 1 0 28 Jan 2023
Bayesian Learning for Neural Networks: an algorithmic survey M. Magris Alexandros Iosifidis BDL DRL 35 68 0 21 Nov 2022
An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift Gholamali Aminian Mahed Abroshan Mohammad Mahdi Khalili Laura Toni M. Rodrigues OOD 18 27 0 24 Feb 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
When and How Mixup Improves Calibration Linjun Zhang Zhun Deng Kenji Kawaguchi James Y. Zou UQCV 20 67 0 11 Feb 2021
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
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs Jun Zhu Ning Chen Eric P. Xing BDL 65 157 0 05 Oct 2012