ReproducedPapers.org: Openly Teaching and Structuring Machine Learning Reproducibility

Author:

Yildiz BurakORCID,Hung Hayley,Krijthe Jesse H.ORCID,Liem Cynthia C. S.ORCID,Loog MarcoORCID,Migut Gosia,Oliehoek Frans A.ORCID,Panichella AnnibaleORCID,Pawełczak PrzemysławORCID,Picek StjepanORCID,de Weerdt MathijsORCID,van Gemert JanORCID

Publisher

Springer International Publishing

Reference30 articles.

1. Anand, K., Wang, Z., Loog, M., van Gemert, J.: Black magic in deep learning: how human skill impacts network training. In: British Machine Vision Conference (BMVC) (2020)

2. Bonneel, N., Coeurjolly, D., Digne, J., Mellado, N.: Code replicability in computer graphics. ACM Trans. Graph. 39(4) (2020)

3. Lecture Notes in Computer Science;M Colom,2019

4. Colom, M., Kerautret, B., Limare, N., Monasse, P., Morel, J.M.: IPOL: a new journal for fully reproducible research; analysis of four years development. In: 2015 7th International Conference on New Technologies, Mobility and Security (NTMS), pp. 1–5. IEEE (2015)

5. Cornell University Library: arxiv. https://arxiv.org, September 2011. Accessed 20 June 2020

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