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Uncertainty Quantification for Gradient-based Explanations in Neural Networks

Uncertainty Quantification for Gradient-based Explanations in Neural Networks

25 March 2024
Mihir Mulye
Matias Valdenegro-Toro
    UQCV
    FAtt
ArXivPDFHTML

Papers citing "Uncertainty Quantification for Gradient-based Explanations in Neural Networks"

2 / 2 papers shown
Title
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
287
9,145
0
06 Jun 2015
1