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Neural Architecture Search On Nats Bench

Metrics

Test Accuracy

Results

Performance results of various models on this benchmark

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