Christina Greer

According to our database, Christina Greer authored at least 5 papers between 2021 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Visual Identification of Problematic Bias in Large Label Spaces.

Alex Bäuerle, Aybuke Gul Turker, Ken Burke, Osman Aka, Timo Ropinski, Christina Greer, Mani Varadarajan

CoRR, 2022

Evaluation Gaps in Machine Learning Practice.

Ben Hutchinson, Negar Rostamzadeh, Christina Greer, Katherine A. Heller, Vinodkumar Prabhakaran

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Thinking Beyond Distributions in Testing Machine Learned Models.

Negar Rostamzadeh, Ben Hutchinson, Christina Greer, Vinodkumar Prabhakaran

CoRR, 2021

Towards Accountability for Machine Learning Datasets: Practices from Software Engineering and Infrastructure.

Ben Hutchinson, Andrew Smart, Alex Hanna, Emily Denton, Christina Greer, Oddur Kjartansson, Parker Barnes, Margaret Mitchell

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Measuring Model Biases in the Absence of Ground Truth.

Osman Aka, Ken Burke, Alex Bäuerle, Christina Greer, Margaret Mitchell

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021