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cs.LG2023★ 2 cited
On the Robustness of Removal-Based Feature Attributions
Chris Lin, Ian Covert, Su-In Lee
To explain predictions made by complex machine learning models, many feature attribution methods have been developed that assign importance scores to input features. Some recent wo…
cs.LG2022★ 2 cited
Contrastive Corpus Attribution for Explaining Representations
Chris Lin, Hugh Chen, Chanwoo Kim +1
Despite the widespread use of unsupervised models, very few methods are designed to explain them. Most explanation methods explain a scalar model output. However, unsupervised mode…