Summary of What Do Machine Learning Researchers Mean by “reproducible”?, By Edward Raff et al.

Main: Machine Learning (cs.LG)
Secondary: Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

What Do Machine Learning Researchers Mean by “Reproducible”?

by Edward Raff, Michel Benaroch, Sagar Samtani, Andrew L. Farris

First submitted to arxiv on: 5 Dec 2024

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Summary difficulty	Written by	Summary
High	Paper authors	High Difficulty Summary Read the original abstract here
Medium	GrooveSquid.com (original content)	Medium Difficulty Summary The proposed study aims to clarify the concept of reproducibility in Artificial Intelligence (AI) and Machine Learning (ML), which has been a topic of concern in recent years. The researchers identify eight general topic areas where reproducibility is relevant, and analyze existing works within each area to understand its scope and evolution over time.
Low	GrooveSquid.com (original content)	Low Difficulty Summary The study aims to clarify the concept of reproducibility in AI/ML by identifying eight general topic areas where it applies, and analyzing how these topics have evolved over time. The research contributes to a better understanding of what “reproducibility” means in the context of AI/ML papers, which is crucial for advancing the field.