TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification

12 September 2022

Papers citing "TEDL: A Two-stage Evidential Deep Learning Method for Classification Uncertainty Quantification"

5 / 5 papers shown

Title
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 37 5 0 07 Sep 2024
TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search Jason Zhu Yanling Cui Yuming Liu Hao-Lun Sun Xue Li Markus Pelger Tianqi Yan Liangjie Zhang Ruofei Zhang Huasha Zhao AI4CE 67 74 0 15 Jan 2021
Deep Sub-Ensembles for Fast Uncertainty Estimation in Image Classification Matias Valdenegro-Toro UQCV 56 51 0 17 Oct 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015