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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

1 July 2019
Sebastian Farquhar
Michael A. Osborne
Y. Gal
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning"

11 / 11 papers shown
Title
Predictive Churn with the Set of Good Models
Predictive Churn with the Set of Good Models
J. Watson-Daniels
Flavio du Pin Calmon
Alexander DÁmour
Carol Xuan Long
David C. Parkes
Berk Ustun
79
7
0
12 Feb 2024
Function-Space Regularization for Deep Bayesian Classification
Function-Space Regularization for Deep Bayesian Classification
J. Lin
Joe Watson
Pascal Klink
Jan Peters
UQCV
BDL
33
1
0
12 Jul 2023
Feature Generation and Hypothesis Verification for Reliable Face
  Anti-Spoofing
Feature Generation and Hypothesis Verification for Reliable Face Anti-Spoofing
Shice Liu
Shitao Lu
Hongyi Xu
J. Yang
Shouhong Ding
Lizhuang Ma
AAML
CVBM
32
39
0
30 Dec 2021
Heavy-tailed denoising score matching
Heavy-tailed denoising score matching
J. Deasy
Nikola Simidjievski
Pietro Lio'
DiffM
23
14
0
17 Dec 2021
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer
Shiye Lei
Zhuozhuo Tu
Leszek Rutkowski
Feng Zhou
Li Shen
Fengxiang He
Dacheng Tao
BDL
19
2
0
12 Dec 2021
Priors in Bayesian Deep Learning: A Review
Priors in Bayesian Deep Learning: A Review
Vincent Fortuin
UQCV
BDL
29
124
0
14 May 2021
Posterior Meta-Replay for Continual Learning
Posterior Meta-Replay for Continual Learning
Christian Henning
Maria R. Cervera
Francesco DÁngelo
J. Oswald
Regina Traber
Benjamin Ehret
Seijin Kobayashi
Benjamin Grewe
João Sacramento
CLL
BDL
51
54
0
01 Mar 2021
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Joost R. van Amersfoort
Lewis Smith
Yee Whye Teh
Y. Gal
UQCV
BDL
8
55
0
04 Mar 2020
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam
Mohammad Emtiyaz Khan
Didrik Nielsen
Voot Tangkaratt
Wu Lin
Y. Gal
Akash Srivastava
ODL
74
266
0
13 Jun 2018
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
268
5,660
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
252
9,134
0
06 Jun 2015
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