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# Nueral Architecture Search
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This project contains the following neural architecture search algorithms, implemented in PyTorch.
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This project contains the following neural architecture search algorithms, implemented in [PyTorch](http://pytorch.org).
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- Network Pruning via Transformable Architecture Search
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- One-Shot Neural Architecture Search via Self-Evaluated Template Network
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- Searching for A Robust Neural Architecture in Four GPU Hours
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- Network Pruning via Transformable Architecture Search, NeurIPS 2019
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- One-Shot Neural Architecture Search via Self-Evaluated Template Network, ICCV 2019
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- Searching for A Robust Neural Architecture in Four GPU Hours, CVPR 2019
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## Requirements and Preparation
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@ -55,7 +55,7 @@ Searching codes come soon!
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## [Searching for A Robust Neural Architecture in Four GPU Hours](http://openaccess.thecvf.com/content_CVPR_2019/papers/Dong_Searching_for_a_Robust_Neural_Architecture_in_Four_GPU_Hours_CVPR_2019_paper.pdf)
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The old version is located in `others/GDAS`.
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The old version is located at [`others/GDAS`](https://github.com/D-X-Y/NAS-Projects/tree/master/others/GDAS) and a paddlepaddle implementation is locate at [`others/paddlepaddle`](https://github.com/D-X-Y/NAS-Projects/tree/master/others/paddlepaddle).
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Train the searched GDAS-searched CNN on CIFAR-10, CIFAR-100, and ImageNet.
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```
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