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Multidimensional Uncertainty-Aware Evidential Neural Networks
v1v2 (latest)

Multidimensional Uncertainty-Aware Evidential Neural Networks

AAAI Conference on Artificial Intelligence (AAAI), 2020
26 December 2020
Yibo Hu
Yuzhe Ou
Xujiang Zhao
Jin-Hee Cho
Feng Chen
    EDLUQCVAAML
ArXiv (abs)PDFHTML

Papers citing "Multidimensional Uncertainty-Aware Evidential Neural Networks"

12 / 12 papers shown
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
Zhen Yang
Yansong Ma
Lei Chen
156
1
0
10 Oct 2025
Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models
Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate modelsPhysics of Plasmas (Phys. Plasmas), 2025
Aaron Ho
Lorenzo Zanisi
Bram de Leeuw
Vincent Galvan
Pablo Rodriguez-Fernandez
Nathaniel T. Howard
157
1
0
21 Jul 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A SurveyACM Conference on Health, Inference, and Learning (CHIL), 2025
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
1.2K
12
0
04 May 2025
Revisiting Essential and Nonessential Settings of Evidential Deep
  Learning
Revisiting Essential and Nonessential Settings of Evidential Deep LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Mengyuan Chen
Junyu Gao
Changsheng Xu
EDL
454
10
0
01 Oct 2024
Uncertainty Estimation by Density Aware Evidential Deep Learning
Uncertainty Estimation by Density Aware Evidential Deep LearningInternational Conference on Machine Learning (ICML), 2024
Taeseong Yoon
Heeyoung Kim
OODDUQCVBDLEDL
368
14
0
13 Sep 2024
A Comprehensive Survey on Evidential Deep Learning and Its Applications
A Comprehensive Survey on Evidential Deep Learning and Its Applications
Junyu Gao
Mengyuan Chen
Liangyu Xiang
Changsheng Xu
EDLBDLUQCV
624
26
0
07 Sep 2024
Continual Evidential Deep Learning for Out-of-Distribution Detection
Continual Evidential Deep Learning for Out-of-Distribution Detection
Eduardo Aguilar
Bogdan Raducanu
Petia Radeva
Joost van de Weijer
OODDEDL
261
17
0
06 Sep 2023
A Survey on Uncertainty Reasoning and Quantification for Decision
  Making: Belief Theory Meets Deep Learning
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
Zhen Guo
Zelin Wan
Qisheng Zhang
Xujiang Zhao
F. Chen
Jin-Hee Cho
Qi Zhang
Lance M. Kaplan
Dong-Ho Jeong
A. Jøsang
UQCVEDL
289
14
0
12 Jun 2022
SEED: Sound Event Early Detection via Evidential Uncertainty
SEED: Sound Event Early Detection via Evidential UncertaintyIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Xujiang Zhao
Xuchao Zhang
Wei Cheng
Wenchao Yu
Yuncong Chen
Haifeng Chen
F. Chen
EDL
250
13
0
05 Feb 2022
Prior and Posterior Networks: A Survey on Evidential Deep Learning
  Methods For Uncertainty Estimation
Prior and Posterior Networks: A Survey on Evidential Deep Learning Methods For Uncertainty Estimation
Dennis Ulmer
Christian Hardmeier
J. Frellsen
BDLUQCVUDEDLPER
386
89
0
06 Oct 2021
Uncertainty-Aware Reliable Text Classification
Uncertainty-Aware Reliable Text ClassificationKnowledge Discovery and Data Mining (KDD), 2021
Yibo Hu
Latifur Khan
EDLUQCV
230
40
0
15 Jul 2021
Scene Uncertainty and the Wellington Posterior of Deterministic Image
  Classifiers
Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers
Stephanie Tsuei
Aditya Golatkar
Stefano Soatto
UQCV
268
0
0
25 Jun 2021
1
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