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Neural Architecture Search On Nats Bench

评估指标

Test Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称
Test Accuracy
Paper TitleRepository
EigenNas (Zhu et al., 2022)45.54Generalization Properties of NAS under Activation and Skip Connection Search-
LayerNAS46.58±0.59LayerNAS: Neural Architecture Search in Polynomial Complexity-
GreenMachine-2-GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
FairNAS (Chu et al., 2021)42.19FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
GreenMachine-3-GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
TE-NAS (Chen et al., 2021)42.38Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
NASI (Shu et al., 2021)44.84NASI: Label- and Data-agnostic Neural Architecture Search at Initialization-
GreenMachine-1-GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
KNAS (Xu et al., 2021)34.11KNAS: Green Neural Architecture Search
RE (Real et al., 2019)44.76Regularized Evolution for Image Classifier Architecture Search
PPO (Schulman et al., 2017)44.95Proximal Policy Optimization Algorithms
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