ENAS CIFAR-10 Implementation in PyTorch
"Efficient Neural Architecture Search via Parameter Sharing" implementation in PyTorch
Includes code for CIFAR-10 image classification task.
Paper: https://arxiv.org/abs/1802.03268
Authors: Hieu Pham*, Melody Y. Guan*, Barret Zoph, Quoc V. Le, Jeff Dean
Prerequisites
- PyTorch 0.4.0+
CIFAR-10
To run the ENAS experiments on the micro search space, please use:
python train_search.py
TODO
- Search in micro search space in CIFAR-10
- Train micro architecture from scratch in CIFAR-10
- Search in macro search space in CIFAR-10
- Train macro architecture from scratch in CIFAR-10
Acknowledgements
This implementation is based on