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Reproducibility
ReproducedPaper.org: Openly teaching and structuring machine learning reproducibility
We present ReproducedPaper.org: an open online repository for teaching and structuring machine learning reproducibility. We evaluate doing a reproduction project among students and the added value of an online reproduction repository among AI researchers. We use anonymous self-assessment surveys and obtained 144 responses. Results suggest that students who do a reproduction project place more value on scientific reproductions and become more critical thinkers. Students and AI researchers agree that our online reproduction repository is valuable.
B. Yildiz
,
H. Hung
,
J. H. Krijthe
,
C. C. S. Liem
,
M. Loog
,
G. Migut
,
F. Oliehoek
,
A. Panichella
,
P. Paweczak
,
S. Picek
,
M. de Weerdt
,
J. van Gemert
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