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GenNAS-Zero

This repository is the official implementation of Generic Neural Architecture Search via Regression (NeurIPS'21 spotlight | Openreview | Arxiv version). Besides, a faster method is introduced Arxiv version.

Todo

  • NASBench-101
  • Training
  • requirement.sh
  • Exploration
  • NASBench-201
  • NDS
  • TransNASBench-Micro
  • NASBench-MB
  • Preprocessing data
  • ReadMe
  • Standalone Instruction

Standalone Instruction

Please run notebooks/standalone.ipynb

Start a Simple Zero Cost Proxy Sarch

bash requirement.sh
conda activate gennaszero
python do_train.py --config=config_loss_macs_nb101_nas

References

@article{li2021generic,
  title={Generic neural architecture search via regression},
  author={Li, Yuhong and Hao, Cong and Li, Pan and Xiong, Jinjun and Chen, Deming},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={20476--20490},
  year={2021}
}