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On the optimization and pruning for Bayesian deep learning

On the optimization and pruning for Bayesian deep learning

24 October 2022
X. Ke
Yanan Fan
    BDL
    UQCV
ArXivPDFHTML

Papers citing "On the optimization and pruning for Bayesian deep learning"

5 / 5 papers shown
Title
Bayesian sparsification for deep neural networks with Bayesian model
  reduction
Bayesian sparsification for deep neural networks with Bayesian model reduction
Dimitrije Marković
K. Friston
S. Kiebel
BDL
UQCV
30
1
0
21 Sep 2023
Consistent Sparse Deep Learning: Theory and Computation
Consistent Sparse Deep Learning: Theory and Computation
Y. Sun
Qifan Song
F. Liang
BDL
35
27
0
25 Feb 2021
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
270
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
282
9,136
0
06 Jun 2015
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