92 citations · 191 across the 7 of their papers we have counts for
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cs.LG2022★ 51 cited
DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder, Colby Banbury, Xiaozhe Yao +42
Machine learning research has long focused on models rather than datasets, and prominent datasets are used for common ML tasks without regard to the breadth, difficulty, and faithf…
cs.LG2022★ 33 cited
Sources of Irreproducibility in Machine Learning: A Review
Odd Erik Gundersen, Kevin Coakley, Christine Kirkpatrick +1
Background: Many published machine learning studies are irreproducible. Issues with methodology and not properly accounting for variation introduced by the algorithm themselves or…