Evidential Uncertainty Quantification: A Variance-Based Perspective

Evidential Uncertainty Quantification: A Variance-Based Perspective

19 November 2023

Harrison X. Bai

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

14 / 14 papers shown

Title
Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition Arthur Hoarau Benjamin Quost Sébastien Destercke Willem Waegeman UQCV UD PER 72 0 0 30 Jan 2025
Probabilistic Degeneracy Detection for Point-to-Plane Error Minimization Johan Hatleskog Kostas Alexis 3DPC 47 2 0 14 Oct 2024
Revisiting Essential and Nonessential Settings of Evidential Deep Learning Mengyuan Chen Junyu Gao Changsheng Xu EDL 54 1 0 01 Oct 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications Junyu Gao Mengyuan Chen Liangyu Xiang Changsheng Xu EDL BDL UQCV 50 5 0 07 Sep 2024
CUQ-GNN: Committee-based Graph Uncertainty Quantification using Posterior Networks C. Damke Eyke Hüllermeier BDL 42 0 0 06 Sep 2024
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance Yufei Zhang Jeffrey O. Kephart Qiang Ji 3DH 28 0 0 17 Jul 2024
Linear Opinion Pooling for Uncertainty Quantification on Graphs C. Damke Eyke Hüllermeier 46 1 0 06 Jun 2024
Label-wise Aleatoric and Epistemic Uncertainty Quantification Yusuf Sale Paul Hofman Timo Löhr Lisa Wimmer Thomas Nagler Eyke Hüllermeier PER UD UQCV 45 7 0 04 Jun 2024
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods? Mira Jürgens Nis Meinert Viktor Bengs Eyke Hüllermeier Willem Waegeman UQCV UD PER EDL BDL 29 11 0 14 Feb 2024
Second-Order Uncertainty Quantification: Variance-Based Measures Yusuf Sale Paul Hofman Lisa Wimmer Eyke Hüllermeier Thomas Nagler PER UQCV UD 31 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 121 130 0 24 Oct 2020
Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings Viraj Prabhu Arjun Chandrasekaran Kate Saenko Judy Hoffman OOD 106 124 0 16 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015