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2008.02627
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Notes on the Behavior of MC Dropout
6 August 2020
Francesco Verdoja
Ville Kyrki
UQCV
OOD
BDL
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Papers citing
"Notes on the Behavior of MC Dropout"
17 / 17 papers shown
Title
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138
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A. Ćiprijanović
Brian D. Nord
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81
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Michael D. Shields
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86
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Uncertainty Quantification for Deep Learning
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31 May 2024
Active Learning with Fully Bayesian Neural Networks for Discontinuous and Nonstationary Data
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73
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16 May 2024
Thermal Earth Model for the Conterminous United States Using an Interpolative Physics-Informed Graph Neural Network (InterPIGNN)
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83
10
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15 Mar 2024
Amortised Inference in Bayesian Neural Networks
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71
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06 Sep 2023
Uncertainty Aware Deep Learning Model for Secure and Trustworthy Channel Estimation in 5G Networks
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Marc Brittain
Murat Kuzlu
Christine Serres
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47
1
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04 May 2023
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R. Rathnakumar
Yutian Pang
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67
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14 Feb 2023
Propagating Variational Model Uncertainty for Bioacoustic Call Label Smoothing
Georgios Rizos
J. Lawson
Simon Mitchell
Pranay Shah
Xin Wen
Cristina Banks‐Leite
R. Ewers
Bjoern W. Schuller
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57
2
0
19 Oct 2022
What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
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B. V. Breugel
Jonathan Crabbé
Nabeel Seedat
M. Schaar
85
4
0
11 Jul 2022
Embedded Ensembles: Infinite Width Limit and Operating Regimes
Maksim Velikanov
Roma Kail
Ivan Anokhin
Roman Vashurin
Maxim Panov
Alexey Zaytsev
Dmitry Yarotsky
47
1
0
24 Feb 2022
Uncertainty-Aware Machine Translation Evaluation
T. Glushkova
Chrysoula Zerva
Ricardo Rei
André F.T. Martins
UQLM
126
45
0
13 Sep 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks
Yufeng Xia
Jun Zhang
Zhiqiang Gong
Tingsong Jiang
Wen Yao
UQCV
56
1
0
15 Jul 2021
Prediction Surface Uncertainty Quantification in Object Detection Models for Autonomous Driving
Ferhat Ozgur Catak
T. Yue
Shaukat Ali
76
22
0
11 Jul 2021
1