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1604.01662
Cited By
A Survey on Bayesian Deep Learning
6 April 2016
Hao Wang
Dit-Yan Yeung
BDL
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Papers citing
"A Survey on Bayesian Deep Learning"
18 / 18 papers shown
Title
Introspective Robot Perception using Smoothed Predictions from Bayesian Neural Networks
Jianxiang Feng
M. Durner
Zoltán-Csaba Márton
Ferenc Bálint-Benczédi
Rudolph Triebel
UQCV
BDL
13
11
0
27 Sep 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
51
1,883
0
12 Nov 2020
Informative Neural Ensemble Kalman Learning
Margaret Trautner
G. Margolis
S. Ravela
BDL
23
10
0
22 Aug 2020
Stochastic Bayesian Neural Networks
Abhinav Sagar
BDL
UQCV
20
0
0
12 Aug 2020
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan
Clinton Fookes
BDL
UQCV
35
199
0
22 Jun 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records
Yikuan Li
Shishir Rao
A. Hassaine
R. Ramakrishnan
Yajie Zhu
D. Canoy
G. Salimi-Khorshidi
Thomas Lukasiewicz
K. Rahimi
BDL
UQCV
16
36
0
23 Mar 2020
Sampling-Free Learning of Bayesian Quantized Neural Networks
Jiahao Su
Milan Cvitkovic
Furong Huang
BDL
MQ
UQCV
13
7
0
06 Dec 2019
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing
Kate Duffy
T. Vandal
Weile Wang
R. Nemani
A. Ganguly
6
8
0
29 Oct 2019
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Mitigating Uncertainty in Document Classification
Xuchao Zhang
Fanglan Chen
Chang-Tien Lu
Naren Ramakrishnan
15
42
0
17 Jul 2019
Artificial Intelligence in Clinical Health Care Applications: Viewpoint
M. V. Hartskamp
Sergio Consoli
W. Verhaegh
M. Petković
A. Stolpe
17
50
0
05 Jun 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI
Shane T. Mueller
R. Hoffman
W. Clancey
Abigail Emrey
Gary Klein
XAI
18
285
0
05 Feb 2019
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning
Jiaming Zeng
Adam Lesnikowski
J. Álvarez
OOD
UQCV
BDL
11
27
0
29 Nov 2018
Concept-Oriented Deep Learning: Generative Concept Representations
Daniel T. Chang
DRL
GAN
BDL
36
12
0
15 Nov 2018
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications
Haowen Xu
Wenxiao Chen
Nengwen Zhao
Zeyan Li
Jiahao Bu
...
Dan Pei
Yang Feng
Jie Chen
Zhaogang Wang
Honglin Qiao
MLAU
19
802
0
12 Feb 2018
Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges
Muhammad Usama
Junaid Qadir
Aunn Raza
Hunain Arif
K. Yau
Y. Elkhatib
Amir Hussain
Ala I. Al-Fuqaha
SSL
33
315
0
19 Sep 2017
Learning Probabilistic Programs Using Backpropagation
Avi Pfeffer
BDL
21
0
0
15 May 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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