2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.HC2020
Harnessing Explanations to Bridge AI and Humans
Vivian Lai, Samuel Carton, Chenhao Tan
Machine learning models are increasingly integrated into societally critical applications such as recidivism prediction and medical diagnosis, thanks to their superior predictive p…
cs.HC2020
"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans
Vivian Lai, Han Liu, Chenhao Tan
To support human decision making with machine learning models, we often need to elucidate patterns embedded in the models that are unsalient, unknown, or counterintuitive to humans…
cs.CL2019★ 2 cited
Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification
Vivian Lai, Jon Z. Cai, Chenhao Tan
Feature importance is commonly used to explain machine predictions. While feature importance can be derived from a machine learning model with a variety of methods, the consistency…