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Expand Up @@ -67,6 +67,7 @@ If you have any suggestions (missing papers, new papers, key researchers or typo
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### Understanding / Generalization / Transfer
- **Understanding deep learning requires rethinking generalization** (2016), C. Zhang et al. [[pdf]](https://arxiv.org/pdf/1611.03530)
- **Distilling the knowledge in a neural network** (2015), G. Hinton et al. [[pdf]](http://arxiv.org/pdf/1503.02531)
- **Deep neural networks are easily fooled: High confidence predictions for unrecognizable images** (2015), A. Nguyen et al. [[pdf]](http://arxiv.org/pdf/1412.1897)
- **How transferable are features in deep neural networks?** (2014), J. Yosinski et al. [[pdf]](http://papers.nips.cc/paper/5347-how-transferable-are-features-in-deep-neural-networks.pdf)
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