2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.HC2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
J. D. Zamfirescu-Pereira, Jerry Chen, Emily Wen +3
Algorithms provide powerful tools for detecting and dissecting human bias and error. Here, we develop machine learning methods to to analyze how humans err in a particular high-sta…
cs.IR2021★ 2 cited
The Stereotyping Problem in Collaboratively Filtered Recommender Systems
Wenshuo Guo, Karl Krauth, Michael I. Jordan +1
Recommender systems play a crucial role in mediating our access to online information. We show that such algorithms induce a particular kind of stereotyping: if preferences for a s…
cs.CL2016★ 1 cited
A Bayesian Model of Multilingual Unsupervised Semantic Role Induction
Nikhil Garg, James Henderson
We propose a Bayesian model of unsupervised semantic role induction in multiple languages, and use it to explore the usefulness of parallel corpora for this task. Our joint Bayesia…