ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.09358
  4. Cited By
A Decision-Theoretic Approach for Model Interpretability in Bayesian
  Framework

A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework

21 October 2019
Homayun Afrabandpey
Tomi Peltola
Juho Piironen
Aki Vehtari
Samuel Kaski
ArXivPDFHTML

Papers citing "A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework"

2 / 2 papers shown
Title
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
205
745
0
06 Jun 2015
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
9,156
0
06 Jun 2015
1