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# Nueral Architecture Search # Nueral Architecture Search
This project contains the following neural architecture search algorithms, implemented in PyTorch. This project contains the following neural architecture search algorithms, implemented in [PyTorch](http://pytorch.org).
- Network Pruning via Transformable Architecture Search - Network Pruning via Transformable Architecture Search, NeurIPS 2019
- One-Shot Neural Architecture Search via Self-Evaluated Template Network - One-Shot Neural Architecture Search via Self-Evaluated Template Network, ICCV 2019
- Searching for A Robust Neural Architecture in Four GPU Hours - Searching for A Robust Neural Architecture in Four GPU Hours, CVPR 2019
## Requirements and Preparation ## Requirements and Preparation
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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) ## [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)
The old version is located in `others/GDAS`. 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).
Train the searched GDAS-searched CNN on CIFAR-10, CIFAR-100, and ImageNet. Train the searched GDAS-searched CNN on CIFAR-10, CIFAR-100, and ImageNet.
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