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@ -19,11 +19,11 @@ This is an on-going attempt to consolidate all interesting efforts in the area o
### Layer-wise Backpropagation
* Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation ([pdf](https://arxiv.org/abs/1712.08268))
## 4. Bayesian
## 4. Bayesian approaches
* Yang, S. C. H., & Shafto, P. Explainable Artificial Intelligence via Bayesian Teaching. NIPS 2017 ([pdf](http://shaftolab.com/assets/papers/yangShafto_NIPS_2017_machine_teaching.pdf))
## Distilling DNNs into more interpretable models
## 5. Distilling DNNs into more interpretable models
* [Interpreting CNNs via Decision Trees](https://arxiv.org/abs/1802.00121)
* [Distilling a Neural Network Into a Soft Decision Tree](https://arxiv.org/abs/1711.09784)