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Full Bayesian Significance Testing for Neural Networks

Full Bayesian Significance Testing for Neural Networks

24 January 2024
Zehua Liu
Zimeng Li
Jingyuan Wang
Yue He
    BDL
ArXivPDFHTML

Papers citing "Full Bayesian Significance Testing for Neural Networks"

3 / 3 papers shown
Title
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and
  Traffic State Data Analysis
BIGCity: A Universal Spatiotemporal Model for Unified Trajectory and Traffic State Data Analysis
Xie Yu
Jingyuan Wang
Yifan Yang
Qian Huang
Ke Qu
72
4
0
01 Dec 2024
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
285
9,145
0
06 Jun 2015
1