Evidential Uncertainty Quantification: A Variance-Based Perspective

19 November 2023

Papers citing "Evidential Uncertainty Quantification: A Variance-Based Perspective"

5 / 5 papers shown

Title
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 19 8 0 30 Dec 2023
Uncertainty Aware Semi-Supervised Learning on Graph Data Xujiang Zhao Feng Chen Shu Hu Jin-Hee Cho UQCV EDL BDL 102 100 0 24 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 90 119 0 16 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,635 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 243 9,042 0 06 Jun 2015