HyperAI超神经

Neural Architecture Search On Nats Bench 2

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

		Paper Title
LayerNAS	73.01±0.63	LayerNAS: Neural Architecture Search in Polynomial Complexity
PPO (Schulman et al., 2017)	71.68	Proximal Policy Optimization Algorithms
EigenNas (Zhu et al., 2022)	71.42	Generalization Properties of NAS under Activation and Skip Connection Search
RE (Real et al., 2019)	71.40	Regularized Evolution for Image Classifier Architecture Search
TE-NAS (Chen et al., 2021)	71.24	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
NASI (Shu et al., 2021)	71.20	NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
FairNAS (Chu et al., 2021)	71.00	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
KNAS (Xu et al., 2021)	68.91	KNAS: Green Neural Architecture Search
GreenMachine-1	-	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-2	-	GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS

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Neural Architecture Search On Nats Bench 2 | SOTA | HyperAI超神经