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Cycle Consistency-based Uncertainty Quantification of Neural Networks in
  Inverse Imaging Problems

Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems

22 May 2023
Luzhe Huang
Jianing Li
Xiaofu Ding
Yijie Zhang
Hanlong Chen
Aydogan Ozcan
    UQCV
ArXivPDFHTML

Papers citing "Cycle Consistency-based Uncertainty Quantification of Neural Networks in Inverse Imaging Problems"

4 / 4 papers shown
Title
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
185
879
0
21 Oct 2021
Unsolved Problems in ML Safety
Unsolved Problems in ML Safety
Dan Hendrycks
Nicholas Carlini
John Schulman
Jacob Steinhardt
186
273
0
28 Sep 2021
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
285
10,354
0
12 Dec 2018
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
UQCV
BDL
285
9,138
0
06 Jun 2015
1