Code for Landmark Regularization

[CVPR2021] Code for Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.

Details

Code is still under restructure.

Please check the bash/exps for experiment details.

Please check the nasws/cnn/procedures/landmark_procedures.py for landmark implementation.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
bash		bash
data		data
docker		docker
k8s		k8s
nasws		nasws
scripts		scripts
visualization		visualization
.DS_Store		.DS_Store
LICENSE		LICENSE
README.md		README.md
cnn_evaluate_main.py		cnn_evaluate_main.py
cnn_evaluation_phase.py		cnn_evaluation_phase.py
cnn_search_main.py		cnn_search_main.py
evaluation_phase.py		evaluation_phase.py
exclude-pattern.txt		exclude-pattern.txt
genotypes.py		genotypes.py
nas-project.yaml		nas-project.yaml
plot_genotype.py		plot_genotype.py
search_main.py		search_main.py
setup.sh		setup.sh
train_cifar.py		train_cifar.py
train_cifar_tb.py		train_cifar_tb.py
train_imagenet.py		train_imagenet.py
utils.py		utils.py
utils_data.py		utils_data.py
utils_nvidia.py		utils_nvidia.py