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Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization

Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization

Russell Hart
Linlin Yu
Yifei Lou
Feng Chen
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Improvements on Uncertainty Quantification for Node Classification via Distance-Based Regularization"

4 / 4 papers shown
Title
Evidential Uncertainty Probes for Graph Neural Networks
Linlin Yu
Kangshuo Li
Pritom Kumar Saha
Yifei Lou
Feng Chen
EDLUQCV
169
0
0
11 Mar 2025
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty
Changbin Li
Kangshuo Li
Yuzhe Ou
Lance M. Kaplan
A. Jøsang
Jin-Hee Cho
Dong Hyun. Jeong
Feng Chen
UQCVBDLEDL
82
5
0
17 Apr 2024
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
Jianfeng He
Linlin Yu
Shuo Lei
Chang-Tien Lu
Feng Chen
UQLM
55
10
0
15 Nov 2023
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Zhe Liu
Zi Lin
Shreyas Padhy
Dustin Tran
Tania Bedrax-Weiss
Balaji Lakshminarayanan
UQCVBDL
293
453
0
17 Jun 2020

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