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Neural Architecture Search On Nats Bench 2

Métriques

Test Accuracy

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Test Accuracy	Paper Title	Repository
LayerNAS	73.01±0.63	LayerNAS: Neural Architecture Search in Polynomial Complexity	-
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	-
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
EigenNas (Zhu et al., 2022)	71.42	Generalization Properties of NAS under Activation and Skip Connection Search	-
PPO (Schulman et al., 2017)	71.68	Proximal Policy Optimization Algorithms
RE (Real et al., 2019)	71.40	Regularized Evolution for Image Classifier Architecture Search
GreenMachine-2	-	GreenMachine: Automatic Design of Zero-Cost Proxies for Energy-Efficient NAS
KNAS (Xu et al., 2021)	68.91	KNAS: Green Neural Architecture Search
FairNAS (Chu et al., 2021)	71.00	FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

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