17 citations · 19 across the 2 of their papers we have counts for
3 papers
cs.CV2022★ 2 cited
Improving Fairness in Large-Scale Object Recognition by CrowdSourced Demographic Information
Zu Kim, André Araujo, Bingyi Cao +5
There has been increasing awareness of ethical issues in machine learning, and fairness has become an important research topic. Most fairness efforts in computer vision have been f…
cs.CL2022★ 17 cited
Dialog Inpainting: Turning Documents into Dialogs
Zhuyun Dai, Arun Tejasvi Chaganty, Vincent Zhao +4
Many important questions (e.g. "How to eat healthier?") require conversation to establish context and explore in depth. However, conversational question answering (ConvQA) systems…
cs.CV2021
Towards A Fairer Landmark Recognition Dataset
Zu Kim, André Araujo, Bingyi Cao +5
We introduce a new landmark recognition dataset, which is created with a focus on fair worldwide representation. While previous work proposes to collect as many images as possible…