ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility [chapter]

Burak Yildiz, Hayley Hung, Jesse H. Krijthe, Cynthia C. S. Liem, Marco Loog, Gosia Migut, Frans A. Oliehoek, Annibale Panichella, Przemysław Pawełczak, Stjepan Picek, Mathijs de Weerdt, Jan van Gemert
2021 Lecture Notes in Computer Science  
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
more » ... that our online reproduction repository is valuable.
doi:10.1007/978-3-030-76423-4_1 fatcat:5o3n6o62cfclnbiblfatjgm4xu