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Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical
  Bayes
v1v2v3 (latest)

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes

12 June 2019
R. Krishnan
Mahesh Subedar
Omesh Tickoo
    BDL
ArXiv (abs)PDFHTML

Papers citing "Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes"

30 / 30 papers shown
Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
Yibin Wang
Haizhou Shi
Ligong Han
Dimitris N. Metaxas
Hao Wang
BDLUQLM
216
13
0
28 Jan 2025
Functional Variational Bayesian Neural Networks
Functional Variational Bayesian Neural Networks
Shengyang Sun
Guodong Zhang
Jiaxin Shi
Roger C. Grosse
BDL
57
241
0
14 Mar 2019
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Evaluating Bayesian Deep Learning Methods for Semantic Segmentation
Jishnu Mukhoti
Y. Gal
UQCVBDL
95
225
0
30 Nov 2018
BAR: Bayesian Activity Recognition using variational inference
BAR: Bayesian Activity Recognition using variational inference
R. Krishnan
Mahesh Subedar
S. Bhatnagar
BDLUQCV
43
21
0
08 Nov 2018
The Deep Weight Prior
The Deep Weight Prior
Andrei Atanov
Arsenii Ashukha
Kirill Struminsky
Dmitry Vetrov
Max Welling
BDL
46
37
0
16 Oct 2018
Flipout: Efficient Pseudo-Independent Weight Perturbations on
  Mini-Batches
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Yeming Wen
Paul Vicol
Jimmy Ba
Dustin Tran
Roger C. Grosse
BDL
69
314
0
12 Mar 2018
Moments in Time Dataset: one million videos for event understanding
Moments in Time Dataset: one million videos for event understanding
Mathew Monfort
A. Andonian
Bolei Zhou
K. Ramakrishnan
Sarah Adel Bargal
...
L. Brown
Quanfu Fan
Dan Gutfreund
Carl Vondrick
A. Oliva
98
551
0
09 Jan 2018
TensorFlow Distributions
TensorFlow Distributions
Joshua V. Dillon
I. Langmore
Dustin Tran
E. Brevdo
Srinivas Vasudevan
David A. Moore
Brian Patton
Alexander A. Alemi
Matt Hoffman
Rif A. Saurous
GP
110
352
0
28 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
133
1,935
0
27 Nov 2017
Variational Continual Learning
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLLVLMBDL
106
736
0
29 Oct 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
285
8,928
0
25 Aug 2017
The Kinetics Human Action Video Dataset
The Kinetics Human Action Video Dataset
W. Kay
João Carreira
Karen Simonyan
Brian Zhang
Chloe Hillier
...
Tim Green
T. Back
Apostol Natsev
Mustafa Suleyman
Andrew Zisserman
259
3,816
0
19 May 2017
Variational Dropout Sparsifies Deep Neural Networks
Variational Dropout Sparsifies Deep Neural Networks
Dmitry Molchanov
Arsenii Ashukha
Dmitry Vetrov
BDL
176
831
0
19 Jan 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCVBDL
847
5,847
0
05 Dec 2016
CNN Architectures for Large-Scale Audio Classification
CNN Architectures for Large-Scale Audio Classification
Shawn Hershey
Sourish Chaudhuri
D. Ellis
J. Gemmeke
A. Jansen
...
Rif A. Saurous
Bryan Seybold
M. Slaney
Ron J. Weiss
K. Wilson
130
2,510
0
29 Sep 2016
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN
  Architectures, Dataset Characteristics and Transfer Learning
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
Hoo-Chang Shin
H. Roth
Mingchen Gao
Le Lu
Ziyue Xu
Isabella Nogues
Jianhua Yao
D. Mollura
Ronald M. Summers
74
4,611
0
10 Feb 2016
Ladder Variational Autoencoders
Ladder Variational Autoencoders
C. Sønderby
T. Raiko
Lars Maaløe
Søren Kaae Sønderby
Ole Winther
BDLDRL
99
915
0
06 Feb 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
305
4,812
0
04 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,510
0
10 Dec 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
UQCVBDL
863
9,353
0
06 Jun 2015
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
192
1,893
0
20 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,615
0
01 Sep 2014
Black Box Variational Inference
Black Box Variational Inference
Rajesh Ranganath
S. Gerrish
David M. Blei
DRLBDL
150
1,167
0
31 Dec 2013
Multi-digit Number Recognition from Street View Imagery using Deep
  Convolutional Neural Networks
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Ian Goodfellow
Yaroslav Bulatov
Julian Ibarz
Sacha Arnoud
Vinay D. Shet
124
720
0
20 Dec 2013
Expectation Propagation for approximate Bayesian inference
Expectation Propagation for approximate Bayesian inference
T. Minka
138
1,909
0
10 Jan 2013
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
K. Soomro
Amir Zamir
M. Shah
CLIPVGen
163
6,170
0
03 Dec 2012
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
265
2,628
0
29 Jun 2012
Variational Bayesian Inference with Stochastic Search
Variational Bayesian Inference with Stochastic Search
John Paisley
David M. Blei
Michael I. Jordan
BDL
114
499
0
27 Jun 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
286
12,460
0
24 Jun 2012
Bayesian Active Learning for Classification and Preference Learning
Bayesian Active Learning for Classification and Preference Learning
N. Houlsby
Ferenc Huszár
Zoubin Ghahramani
M. Lengyel
125
915
0
24 Dec 2011
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