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# DARTS: Differentiable Architecture Search
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DARTS: Differentiable Architecture Search is accepted by ICLR 2019.
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In this paper, Hanxiao proposed a differentiable neural architecture search method, named as DARTS.
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Recently, DARTS becomes very popular due to its simplicity and performance.
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**Run DARTS on the NAS-Bench-201 search space**:
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```
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CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/DARTS-V2.sh cifar10 1 -1
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CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/GDAS.sh cifar10 1 -1
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```
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# Citation
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```
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@inproceedings{liu2019darts,
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title = {{DARTS}: Differentiable architecture search},
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author = {Liu, Hanxiao and Simonyan, Karen and Yang, Yiming},
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booktitle = {International Conference on Learning Representations (ICLR)},
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year = {2019}
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}
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```
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- [4] `CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/SETN.sh cifar10 1 -1`
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- [5] `CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/ENAS.sh cifar10 1 -1`
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- [6] `CUDA_VISIBLE_DEVICES=0 bash ./scripts-search/algos/RANDOM-NAS.sh cifar10 1 -1`
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- [7] `bash ./scripts-search/algos/R-EA.sh -1`
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- [7] `bash ./scripts-search/algos/R-EA.sh cifar10 3 -1`
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- [8] `bash ./scripts-search/algos/Random.sh -1`
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- [9] `bash ./scripts-search/algos/REINFORCE.sh 0.5 -1`
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- [10] `bash ./scripts-search/algos/BOHB.sh -1`
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