2.1k citations · 3.4k across the 25 of their papers we have counts for
Showing 2021 · cs.LGShow all
2 papers · 2 filters
cs.LG2021★ 24 cited
Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation
Remi Denton, Mark Díaz, Ian Kivlichan +2
Human annotations play a crucial role in machine learning (ML) research and development. However, the ethical considerations around the processes and decisions that go into buildin…
cs.LG2021★ 1 cited
Thinking Beyond Distributions in Testing Machine Learned Models
Negar Rostamzadeh, Ben Hutchinson, Christina Greer +1
Testing practices within the machine learning (ML) community have centered around assessing a learned model's predictive performance measured against a test dataset, often drawn fr…