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@ -44,6 +44,7 @@ This is an on-going attempt to consolidate all interesting efforts in the area o
* Unreliable saliency maps
* LRP: Beyond saliency: understanding convolutional neural networks from saliency prediction on layer-wise relevance propagation [pdf](https://arxiv.org/abs/1712.08268)
* DTD: Explaining NonLinear Classification Decisions With Deep Tayor Decomposition [pdf](https://arxiv.org/abs/1512.02479)
* Regional Multi-scale Approach for Visually Pleasing Explanations of Deep Neural Networks. _Seo et al. 2018_ [pdf](https://arxiv.org/pdf/1807.11720.pdf)
### Black-box
* RISE: Randomized Input Sampling for Explanation of Black-box Models. _Petsiuk et al. 2018_ [pdf](https://arxiv.org/pdf/1806.07421.pdf)