Here are some projects I have worked on for school, work, or fun. You can find the code for most of them on GitHub.

Jury Learning: Integrating Dissenting Voices into Machine Learning Models

Mitchell L. Gordon, Michelle Lam, Joon Sung Park, Kayur Patel, Jeffrey T. Hancock, Tatsunori Hashimoto, Michael S. Bernstein. CHI 2022
Best Paper award (1% of submissions)

The Disagreement Deconvolution: Bringing Machine Learning Performance Metrics In Line With Reality

Mitchell L. Gordon, Kaitlyn Zhou, Kayur Patel, Tatsunori Hashimoto, Michael Bernstein. CHI 2021

HYPE: Human eYe Perceptual Evaluation of Generative Models

Mitchell L. Gordon*, Sharon Zhou*, Ranjay Krishna, Austin Narcomey, Li Fei-Fei, Michael Bernstein. NeurIPS 2019
Oral (0.5% of submissions)
*equal contribution