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Gradient conjugate priors and multi-layer neural networks

Gradient conjugate priors and multi-layer neural networks

7 February 2018
P. Gurevich
Hannes Stuke
    BDL
ArXivPDFHTML

Papers citing "Gradient conjugate priors and multi-layer neural networks"

6 / 6 papers shown
Title
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept
  Statistics
Dr. Neurosymbolic, or: How I Learned to Stop Worrying and Accept Statistics
Masataro Asai
25
0
0
08 Sep 2022
The Unreasonable Effectiveness of Deep Evidential Regression
The Unreasonable Effectiveness of Deep Evidential Regression
N. Meinert
J. Gawlikowski
Alexander Lavin
UQCV
EDL
192
35
0
20 May 2022
Multivariate Deep Evidential Regression
Multivariate Deep Evidential Regression
N. Meinert
Alexander Lavin
BDL
PER
EDL
UQCV
37
21
0
13 Apr 2021
Micro-supervised Disturbance Learning: A Perspective of Representation
  Probability Distribution
Micro-supervised Disturbance Learning: A Perspective of Representation Probability Distribution
Jielei Chu
Jing Liu
Hongjun Wang
Hua Meng
Zhiguo Gong
Tianrui Li
OOD
25
19
0
13 Mar 2020
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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