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@ -22,3 +22,7 @@ This is an on-going attempt to consolidate all interesting efforts in the area o
## 4. Bayesian
* 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
* ([Interpreting CNNs via Decision Trees](https://arxiv.org/abs/1802.00121))