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README.md
@@ -147,3 +147,4 @@ One way to test generated explanations for accuracy is with simulated data with
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* [Toward Dispelling Unhelpful Explainable Machine Learning (ML) Misconceptions (Preprint/WIP)](https://github.com/jphall663/xai_misconceptions/blob/master/xai_misconceptions.pdf)
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* [The Mythos of Model Interpretability](https://arxiv.org/pdf/1606.03490.pdf)
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* [Challenges for Transparency](https://arxiv.org/pdf/1708.01870.pdf)
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+* [Explaining by Removing: A Unified Framework for Model Explanation](https://arxiv.org/abs/2011.14878)
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