Perspectives on Machine Learning from Psychology's Reproducibility Crisis

Onno P. Kampman; Samuel J. Bell

Perspectives on Machine Learning from Psychology's Reproducibility Crisis

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arxiv 2104.08878 v2 pith:3STJVUJY submitted 2021-04-18 cs.LG cs.AI

Samuel J. Bell , Onno P. Kampman This is my paper · ORCID

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keywords learningmachinepsychologyreproducibilitycrisisfieldaudiencecome

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In the early 2010s, a crisis of reproducibility rocked the field of psychology. Following a period of reflection, the field has responded with radical reform of its scientific practices. More recently, similar questions about the reproducibility of machine learning research have also come to the fore. In this short paper, we present select ideas from psychology's reformation, translating them into relevance for a machine learning audience.

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