research
∙
05/11/2022
Evaluation Gaps in Machine Learning Practice
Forming a reliable judgement of a machine learning (ML) model's appropri...
share
research
∙
01/17/2022
Visual Identification of Problematic Bias in Large Label Spaces
While the need for well-trained, fair ML systems is increasing ever more...
research
∙
12/06/2021
Thinking Beyond Distributions in Testing Machine Learned Models
Testing practices within the machine learning (ML) community have center...
research
∙
03/05/2021
Measuring Model Biases in the Absence of Ground Truth
Recent advances in computer vision have led to the development of image ...
research
∙
10/23/2020