Further reading
- Smilkov, D., Thorat, N., Kim, B., Viégas, F., and Wattenberg, M., 2017, SmoothGrad: Removing noise by adding noise. ArXiv, abs/1706.03825: https://arxiv.org/abs/1706.03825
- Sundararajan, M., Taly, A., and Yan, Q., 2017, Axiomatic Attribution for Deep Networks. Proceedings of Machine Learning Research, pp. 3319–3328, International Convention Centre, Sydney, Australia: https://arxiv.org/abs/1703.01365
- Zeiler, M.D., and Fergus, R., 2014, Visualizing and Understanding Convolutional Networks. In European conference on computer vision, pp. 818–833: https://arxiv.org/abs/1311.2901
- Shrikumar, A., Greenside, P., and Kundaje, A., 2017, Learning Important Features Through Propagating Activation Differences: https://arxiv.org/abs/1704.02685
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