2 citations · 3 across the 9 of their papers we have counts for
Showing 2022Show all
3 papers · 1 filter
cs.LG2022★ 2 cited
Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning
Trenton Chang, Michael W. Sjoding, Jenna Wiens
As machine learning (ML) models gain traction in clinical applications, understanding the impact of clinician and societal biases on ML models is increasingly important. While bias…
cs.CL2022★ 1 cited
Neural Generation Meets Real People: Building a Social, Informative Open-Domain Dialogue Agent
Ethan A. Chi, Ashwin Paranjape, Abigail See +18
We present Chirpy Cardinal, an open-domain social chatbot. Aiming to be both informative and conversational, our bot chats with users in an authentic, emotionally intelligent way.…
cs.CV2022
Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models
Trenton Chang, Daniel Y. Fu
We study how networking corruptions--data corruptions caused by networking errors--affect video machine learning (ML) models. We discover apparent networking corruptions in Kinetic…