Junhao Huang, Bing Xue, Yanan Sun, and Mengjie Zhang. 2025. Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search. In Genetic and Evolutionary Computation Conference (GECCO '25), July 14-18, 2025, Malaga, Spain. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3712256.3726315
This paper was nominated for the best paper award at the Neuroevolution track of GECCO 2025.
This code is tested with Python 3.12.7, PyTorch 2.5.1, and CUDA 12.7.
- Download datasets (CIFAR-10, CIFAR-100, ImageNet-16-120) from https://drive.google.com/drive/folders/1T3UIyZXUhMmIuJLOBMIYKAsJknAtrrO4 and put them in
./data - Download benchmark datasets and put them in
./APIs- NATS-Bench-TSS (NAS-Bench-201): https://drive.google.com/file/d/16Y0UwGisiouVRxW-W5hEtbxmcHw_0hF_/view
- NATS-Bench-SSS: https://drive.google.com/file/d/1scOMTUwcQhAMa_IMedp9lTzwmgqHLGgA/view
- NDS: https://dl.fbaipublicfiles.com/nds/data.zip
- Conduct proxy search on NATS-Bench by running
sh run.sh
If you use this code in your research, please cite the following paper:
@inproceedings{ECP,
title={Evolving Comprehensive Proxies for Zero-Shot Neural Architecture Search},
author={Huang, Junhao and Xue, Bing and Sun, Yanan and Zhang, Mengjie},
booktitle={Proceedings of the Genetic and Evolutionary Computation Conference},
pages={1246--1254},
year={2025}
}