autodl-projects/docs/ICLR-2019-DARTS.md

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2020-01-15 15:43:07 +01:00
# 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
```
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# 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}
}
```