74 citations · 74 across the 2 of their papers we have counts for
2 papers
cs.LG2021★ 74 cited
"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?
R. Stuart Geiger, Dominique Cope, Jamie Ip +4
Supervised machine learning, in which models are automatically derived from labeled training data, is only as good as the quality of that data. This study builds on prior work that…
cs.CY2019
Garbage In, Garbage Out? Do Machine Learning Application Papers in Social Computing Report Where Human-Labeled Training Data Comes From?
R. Stuart Geiger, Kevin Yu, Yanlai Yang +4
Many machine learning projects for new application areas involve teams of humans who label data for a particular purpose, from hiring crowdworkers to the paper's authors labeling t…