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@ -64,6 +64,7 @@ This is an on-going attempt to consolidate all interesting efforts in the area o
* Interpreting CNNs via Decision Trees [pdf](https://arxiv.org/abs/1802.00121)
* Distilling a Neural Network Into a Soft Decision Tree [pdf](https://arxiv.org/abs/1711.09784)
* Distill-and-Compare: Auditing Black-Box Models Using Transparent Model Distillation. _Tan et al. 2018_ [pdf](https://arxiv.org/abs/1710.06169)
* Improving the Interpretability of Deep Neural Networks with Knowledge Distillation. _Liu et al. 2018_ [pdf](https://arxiv.org/pdf/1812.10924.pdf)
# Learning to explain
* Deep Learning for Case-Based Reasoning through Prototypes [pdf](https://arxiv.org/pdf/1710.04806.pdf)