RL-LIM: Reinforcement Learning-based Locally Interpretable Modeling

ICLR 2020 Jinsung YoonSercan O. ArikTomas Pfister

Understanding black-box machine learning models is important towards their widespread adoption. However, developing globally interpretable models that explain the behavior of the entire model is challenging... (read more)

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