Boosting Operational DNN Testing Efficiency through Conditioning

ESEC/SIGSOFT FSE, pp. 499-509, 2019.

Cited by: 7|Bibtex|Views14|Links
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Abstract:

With the increasing adoption of Deep Neural Network (DNN) models as integral parts of software systems, efficient operational testing of DNNs is much in demand to ensure these models' actual performance in field conditions. A challenge is that the testing often needs to produce precise results with a very limited budget for labeling data ...More

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