2 papers
cs.LG2021
An Interactive Visualization Tool for Understanding Active Learning
Zihan Wang, Jialin Lu, Oliver Snow +1
Despite recent progress in artificial intelligence and machine learning, many state-of-the-art methods suffer from a lack of explainability and transparency. The ability to interpr…
cs.LG2019
An Active Approach for Model Interpretation
Jialin Lu, Martin Ester
Model interpretation, or explanation of a machine learning classifier, aims to extract generalizable knowledge from a trained classifier into a human-understandable format, for var…