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Can Offline Testing of Deep Neural Networks Replace Their Online
  Testing?

Can Offline Testing of Deep Neural Networks Replace Their Online Testing?

26 January 2021
Fitash Ul Haq
Donghwan Shin
S. Nejati
Lionel C. Briand
    OffRL
ArXivPDFHTML

Papers citing "Can Offline Testing of Deep Neural Networks Replace Their Online Testing?"

5 / 5 papers shown
Title
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its
  Calibration
Instance-Level Safety-Aware Fidelity of Synthetic Data and Its Calibration
Chih-Hong Cheng
Paul Stöckel
Xingyu Zhao
30
2
0
10 Feb 2024
Uncertainty Quantification for Deep Neural Networks: An Empirical
  Comparison and Usage Guidelines
Uncertainty Quantification for Deep Neural Networks: An Empirical Comparison and Usage Guidelines
Michael Weiss
Paolo Tonella
BDL
UQCV
30
11
0
14 Dec 2022
Learning Failure-Inducing Models for Testing Software-Defined Networks
Learning Failure-Inducing Models for Testing Software-Defined Networks
Raphaël Ollando
Seung Yeob Shin
Lionel C. Briand
19
1
0
27 Oct 2022
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled
  Systems
Many-Objective Reinforcement Learning for Online Testing of DNN-Enabled Systems
Fitash Ul Haq
Donghwan Shin
Lionel C. Briand
OffRL
52
40
0
27 Oct 2022
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a
  Pedestrian Automatic Emergency Brake System
Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System
Markus Borg
Jens Henriksson
Kasper Socha
Olof Lennartsson
Elias Sonnsjo Lonegren
T. Bui
Piotr Tomaszewski
S. Sathyamoorthy
Sebastian Brink
M. H. Moghadam
35
23
0
16 Apr 2022
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