most citedKeeping Community in the Loop: Understanding Wikipedia Stakeholder Values for Machine Learning-Based Systems

74 citations · 105 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2023★ 2 cited

Quantifying and mitigating the impact of label errors on model disparity metrics

Julius Adebayo, Melissa Hall, Bowen Yu +1

Errors in labels obtained via human annotation adversely affect a model's performance. Existing approaches propose ways to mitigate the effect of label error on a model's downstrea…

cs.LG2019★ 31 cited

Visus: An Interactive System for Automatic Machine Learning Model Building and Curation

Aécio Santos, Sonia Castelo, Cristian Felix +6

While the demand for machine learning (ML) applications is booming, there is a scarcity of data scientists capable of building such models. Automatic machine learning (AutoML) appr…