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KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its
  Specifications

KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications

11 April 2018
Rémy Sun
Christoph H. Lampert
ArXiv (abs)PDFHTML

Papers citing "KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications"

4 / 4 papers shown
A statistical framework for efficient out of distribution detection in
  deep neural networks
A statistical framework for efficient out of distribution detection in deep neural networksInternational Conference on Learning Representations (ICLR), 2021
Matan Haroush
Tzviel Frostig
R. Heller
Daniel Soudry
OODD
252
39
0
25 Feb 2021
Into the Unknown: Active Monitoring of Neural Networks
Into the Unknown: Active Monitoring of Neural NetworksRuntime Verification (RV), 2020
Anna Lukina
Christian Schilling
T. Henzinger
AAML
398
29
0
14 Sep 2020
Outside the Box: Abstraction-Based Monitoring of Neural Networks
Outside the Box: Abstraction-Based Monitoring of Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2019
T. Henzinger
Anna Lukina
Christian Schilling
AAML
359
65
0
20 Nov 2019
Robust Learning from Untrusted Sources
Robust Learning from Untrusted SourcesInternational Conference on Machine Learning (ICML), 2019
Nikola Konstantinov
Christoph H. Lampert
FedMLOOD
250
75
0
29 Jan 2019
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