5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.HC2022
Exploiting and Guiding User Interaction in Interactive Machine Teaching
Zhongyi Zhou
Humans are talented with the ability to perform diverse interactions in the teaching process. However, when humans want to teach AI, existing interactive systems only allow humans…
cs.HC2021★ 5 cited
Enhancing Model Assessment in Vision-based Interactive Machine Teaching through Real-time Saliency Map Visualization
Zhongyi Zhou, Koji Yatani
Interactive Machine Teaching systems allow users to create customized machine learning models through an iterative process of user-guided training and model assessment. They primar…