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A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks

A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks

International Journal of Machine Learning and Cybernetics (IJMLC), 2020
Hao Shen
Sihong Chen
Ran Wang
ArXiv (abs)PDFHTML

Papers citing "A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks"

3 / 3 papers shown
Title
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCVUD
198
69
0
03 Nov 2021
Adversarial Learning with Cost-Sensitive Classes
Adversarial Learning with Cost-Sensitive ClassesIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2021
Hao Shen
Sihong Chen
Ran Wang
Xizhao Wang
AAML
96
11
0
29 Jan 2021
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
386
633
0
31 Oct 2017

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