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.
Original language | English |
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Title of host publication | Reproducible Research in Pattern Recognition - 3rd International Workshop, RRPR 2021, Revised Selected Papers |
Editors | Bertrand Kerautret, Miguel Colom, Adrien Krähenbühl, Daniel Lopresti, Pascal Monasse, Hugues Talbot |
Publisher | Springer |
Pages | 3-11 |
Number of pages | 9 |
ISBN (Print) | 9783030764227 |
DOIs | |
Publication status | Published - 2021 |
Event | 3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 - Virtual, Online Duration: 11 Jan 2021 → 11 Jan 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12636 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 3rd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021 |
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City | Virtual, Online |
Period | 11/01/21 → 11/01/21 |
Bibliographical note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-careOtherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Keywords
- Machine learning
- Online repository
- Reproducibility