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ReproducedPapers.org: Openly teaching and structuring machine learning reproducibility

Published 1 Dec 2020 in cs.CY and cs.CV | (2012.01172v1)

Abstract: We present ReproducedPapers.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.

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