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A Comprehensive guide to Bayesian Convolutional Neural Network with
  Variational Inference

A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference

8 January 2019
Kumar Shridhar
F. Laumann
Marcus Liwicki
    BDL
    UQCV
ArXivPDFHTML

Papers citing "A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference"

24 / 24 papers shown
Title
Logit Disagreement: OoD Detection with Bayesian Neural Networks
Logit Disagreement: OoD Detection with Bayesian Neural Networks
Kevin Raina
UQCV
BDL
UD
PER
66
0
0
24 Feb 2025
A Framework for Variational Inference of Lightweight Bayesian Neural
  Networks with Heteroscedastic Uncertainties
A Framework for Variational Inference of Lightweight Bayesian Neural Networks with Heteroscedastic Uncertainties
D. Schodt
Ryan Brown
Michael Merritt
Samuel Park
Delsin Menolascino
M. Peot
BDL
UQCV
UD
32
1
0
22 Feb 2024
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image
  Classification
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
Mingyang Zhang
Ziqi Di
Maoguo Gong
Yue Wu
Hao Li
Xiangming Jiang
BDL
UQCV
35
0
0
14 Nov 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
31
80
0
05 Oct 2022
Latent Preserving Generative Adversarial Network for Imbalance
  classification
Latent Preserving Generative Adversarial Network for Imbalance classification
T. Dam
Md Meftahul Ferdaus
Mahardhika Pratama
S. Anavatti
Senthilnath Jayavelu
H. Abbass
30
6
0
04 Sep 2022
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral
  Remote Sensing Image Classification
Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification
M. Joshaghani
Amirabbas Davari
F. Hatamian
Andreas K. Maier
Christian Riess
UQCV
BDL
20
7
0
19 May 2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
Reducing Overconfidence Predictions for Autonomous Driving Perception
Gledson Melotti
C. Premebida
Jordan J. Bird
Diego Resende Faria
Nuno Gonccalves
16
7
0
16 Feb 2022
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
A Deterministic Sampling Method via Maximum Mean Discrepancy Flow with Adaptive Kernel
Yindong Chen
Yiwei Wang
Lulu Kang
Chun Liu
26
1
0
21 Nov 2021
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark
  Localization
Modeling Annotation Uncertainty with Gaussian Heatmaps in Landmark Localization
Franz Thaler
Christian Payer
M. Urschler
Darko Štern
39
10
0
20 Sep 2021
Multi Agent System for Machine Learning Under Uncertainty in Cyber
  Physical Manufacturing System
Multi Agent System for Machine Learning Under Uncertainty in Cyber Physical Manufacturing System
Bang Xiang Yong
Alexandra Brintrup
AI4CE
19
20
0
28 Jul 2021
W2WNet: a two-module probabilistic Convolutional Neural Network with
  embedded data cleansing functionality
W2WNet: a two-module probabilistic Convolutional Neural Network with embedded data cleansing functionality
Francesco Ponzio
Enrico Macii
E. Ficarra
S. D. Cataldo
30
4
0
24 Mar 2021
An Active Learning Method for Diabetic Retinopathy Classification with
  Uncertainty Quantification
An Active Learning Method for Diabetic Retinopathy Classification with Uncertainty Quantification
Muhammad Ahtazaz Ahsan
A. Qayyum
Junaid Qadir
Adeel Razi
BDL
23
19
0
24 Dec 2020
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime
  Distribution Predictions
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime Distribution Predictions
Jake E. Tuero
M. Buro
OOD
13
0
0
14 Dec 2020
Propensity-to-Pay: Machine Learning for Estimating Prediction
  Uncertainty
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty
M. A. Bashar
Kieren Astin-Walmsley
Kerina Heath
R. Nayak
19
2
0
27 Aug 2020
Survey of XAI in digital pathology
Survey of XAI in digital pathology
Milda Pocevičiūtė
Gabriel Eilertsen
Claes Lundström
14
56
0
14 Aug 2020
Localization Uncertainty Estimation for Anchor-Free Object Detection
Localization Uncertainty Estimation for Anchor-Free Object Detection
Youngwan Lee
Joong-won Hwang
Hyungil Kim
Kimin Yun
Yongjin Kwon
Yuseok Bae
Joungyoul Park
16
30
0
28 Jun 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning
  Study
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study
Himanshu Sharma
Elise Jennings
BDL
27
3
0
23 May 2020
Global inducing point variational posteriors for Bayesian neural
  networks and deep Gaussian processes
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes
Sebastian W. Ober
Laurence Aitchison
BDL
26
60
0
17 May 2020
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and
  Visibility Likelihood
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
Abhinav Kumar
Tim K. Marks
Wenxuan Mou
Ye Wang
Michael J. Jones
A. Cherian
T. Koike-Akino
Xiaoming Liu
Chen Feng
CVBM
3DV
25
150
0
06 Apr 2020
A Financial Service Chatbot based on Deep Bidirectional Transformers
A Financial Service Chatbot based on Deep Bidirectional Transformers
S. Yu
Yuxin Chen
Hussain Zaidi
25
33
0
17 Feb 2020
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
231
5,180
0
16 Sep 2016
Stochastic Backpropagation through Mixture Density Distributions
Stochastic Backpropagation through Mixture Density Distributions
Alex Graves
BDL
57
44
0
19 Jul 2016
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCV
BDL
205
745
0
06 Jun 2015
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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