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Towards Testing of Deep Learning Systems with Training Set Reduction

Towards Testing of Deep Learning Systems with Training Set Reduction

14 January 2019
Helge Spieker
A. Gotlieb
ArXivPDFHTML

Papers citing "Towards Testing of Deep Learning Systems with Training Set Reduction"

4 / 4 papers shown
Title
The Pipeline for the Continuous Development of Artificial Intelligence
  Models -- Current State of Research and Practice
The Pipeline for the Continuous Development of Artificial Intelligence Models -- Current State of Research and Practice
M. Steidl
Michael Felderer
Rudolf Ramler
21
41
0
21 Jan 2023
Testing Deep Learning Models: A First Comparative Study of Multiple
  Testing Techniques
Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
M. K. Ahuja
A. Gotlieb
Helge Spieker
AAML
13
4
0
24 Feb 2022
Software Engineering for AI-Based Systems: A Survey
Software Engineering for AI-Based Systems: A Survey
Silverio Martínez-Fernández
Justus Bogner
Xavier Franch
Marc Oriol
Julien Siebert
Adam Trendowicz
Anna Maria Vollmer
Stefan Wagner
27
211
0
05 May 2021
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
39
739
0
19 Jun 2019
1