Neural Architecture Search On Nats Bench 1

Métriques

Test Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

		Paper Title
LayerNAS	94.34±0.12	LayerNAS: Neural Architecture Search in Polynomial Complexity
RE (Real et al., 2019)	94.13	Regularized Evolution for Image Classifier Architecture Search
PPO (Schulman et al., 2017)	94.02	Proximal Policy Optimization Algorithms
TE-NAS (Chen et al., 2021)	93.90	Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
NASI (Shu et al., 2021)	93.55	NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
EigenNas (Zhu et al., 2022)	93.46	Generalization Properties of NAS under Activation and Skip Connection Search
FairNAS (Chu et al., 2021)	93.23	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
KNAS (Xu et al., 2021)	93.05	KNAS: 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 1 | SOTA | HyperAI