most citedABOUT ML: Annotation and Benchmarking on Understanding and Transparency of Machine Learning Lifecycles

23 citations · 40 across the 2 of their papers we have counts for

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cs.LG2021

Partially Interpretable Estimators (PIE): Black-Box-Refined Interpretable Machine Learning

Tong Wang, Jingyi Yang, Yunyi Li +1

We propose Partially Interpretable Estimators (PIE) which attribute a prediction to individual features via an interpretable model, while a (possibly) small part of the PIE predict…