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Radial and Directional Posteriors for Bayesian Neural Networks

Radial and Directional Posteriors for Bayesian Neural Networks

7 February 2019
Changyong Oh
Kamil Adamczewski
Mijung Park
    BDL
ArXivPDFHTML

Papers citing "Radial and Directional Posteriors for Bayesian Neural Networks"

6 / 6 papers shown
Title
On The Distribution of Penultimate Activations of Classification
  Networks
On The Distribution of Penultimate Activations of Classification Networks
Minkyo Seo
Yoonho Lee
Suha Kwak
UQCV
18
4
0
05 Jul 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
35
124
0
14 May 2021
Dirichlet Pruning for Neural Network Compression
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski
Mijung Park
27
3
0
10 Nov 2020
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale
  Bayesian Deep Learning
Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
Sebastian Farquhar
Michael A. Osborne
Y. Gal
UQCV
BDL
21
57
0
01 Jul 2019
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
5,683
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
9,156
0
06 Jun 2015
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