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The challenge of reproducible ML: an empirical study on the impact of
  bugs

The challenge of reproducible ML: an empirical study on the impact of bugs

9 September 2021
Emilio Rivera-Landos
Foutse Khomh
Amin Nikanjam
ArXivPDFHTML

Papers citing "The challenge of reproducible ML: an empirical study on the impact of bugs"

3 / 3 papers shown
Title
Bug Characterization in Machine Learning-based Systems
Bug Characterization in Machine Learning-based Systems
Mohammad Mehdi Morovati
Amin Nikanjam
Florian Tambon
Foutse Khomh
Zhen Ming
Z. Jiang
31
20
0
26 Jul 2023
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Bugs in Machine Learning-based Systems: A Faultload Benchmark
Mohammad Mehdi Morovati
Amin Nikanjam
Foutse Khomh
Zhen Ming
Z. Jiang
32
20
0
24 Jun 2022
Towards A Rigorous Science of Interpretable Machine Learning
Towards A Rigorous Science of Interpretable Machine Learning
Finale Doshi-Velez
Been Kim
XAI
FaML
259
3,698
0
28 Feb 2017
1