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terryum authored Jun 14, 2016
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Expand Up @@ -158,6 +158,7 @@ Total 85 papers except for the papers in *Hardware / Software*, *Papers Worth Re

### Papers Worth Reading
*Newly released papers which do not meet the criteria but worth reading*
- Identity Mappings in Deep Residual Networks (2016), K. He et al. *(Microsoft)* [[pdf]](https://arxiv.org/pdf/1603.05027v2.pdf)
- Adversarially learned inference (2016), V. Dumoulin et al. [[web]](https://ishmaelbelghazi.github.io/ALI/)[[pdf]](https://arxiv.org/pdf/1606.00704v1)
- Understanding convolutional neural networks (2016), J. Koushik [[pdf]](https://arxiv.org/pdf/1605.09081v1)
- SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and< 1MB model size (2016), F. Iandola et al. [[pdf]](http://arxiv.org/pdf/1602.07360)
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