What Do Machine Learning Researchers Mean by “Reproducible”?

Authors

  • Edward Raff Booz Allen Hamilton University of Maryland, Baltimore County
  • Michel Benaroch Syracuse University
  • Sagar Samtani Indiana University
  • Andrew L. Farris Booz Allen Hamiltion

DOI:

https://doi.org/10.1609/aaai.v39i27.35093

Abstract

The concern that Artificial Intelligence (AI) and Machine Learning (ML) are entering a "reproducibility crisis" has spurred significant research in the past few years. Yet with each paper, it is often unclear what someone means by "reproducibility". Our work attempts to clarify the scope of "reproducibility" as displayed by the community at large. In doing so, we propose to refine the research to eight general topic areas. In this light, we see that each of these areas contains many works that do not advertise themselves as being about "reproducibility", in part because they go back decades before the matter came to broader attention.

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Published

2025-04-11

How to Cite

Raff, E., Benaroch, M., Samtani, S., & Farris, A. L. (2025). What Do Machine Learning Researchers Mean by “Reproducible”?. Proceedings of the AAAI Conference on Artificial Intelligence, 39(27), 28671-28683. https://doi.org/10.1609/aaai.v39i27.35093