# DARTS: Differentiable Architecture Search DARTS: Differentiable Architecture Search is accepted by ICLR 2019. In this paper, Hanxiao proposed a differentiable neural architecture search method, named as DARTS. Recently, DARTS becomes very popular due to its simplicity and performance. **Run DARTS on the NAS-Bench-201 search space**: ``` CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/DARTS-V2.sh cifar10 1 -1 CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/GDAS.sh cifar10 1 -1 ``` **Run the first-order DARTS on the NASNet search space**: ``` CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/DARTS1V-search-NASNet-space.sh cifar10 -1 ``` # Citation ``` @inproceedings{liu2019darts, title = {{DARTS}: Differentiable architecture search}, author = {Liu, Hanxiao and Simonyan, Karen and Yang, Yiming}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019} } ```