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SOTA
Neuronale Architektursuche
Neural Architecture Search On Nats Bench
Neural Architecture Search On Nats Bench
Metriken
Test Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Columns
Modellname
Test Accuracy
Paper Title
LayerNAS
46.58±0.59
LayerNAS: Neural Architecture Search in Polynomial Complexity
EigenNas (Zhu et al., 2022)
45.54
Generalization Properties of NAS under Activation and Skip Connection Search
PPO (Schulman et al., 2017)
44.95
Proximal Policy Optimization Algorithms
NASI (Shu et al., 2021)
44.84
NASI: Label- and Data-agnostic Neural Architecture Search at Initialization
RE (Real et al., 2019)
44.76
Regularized Evolution for Image Classifier Architecture Search
TE-NAS (Chen et al., 2021)
42.38
Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective
FairNAS (Chu et al., 2021)
42.19
FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search
KNAS (Xu et al., 2021)
34.11
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 | SOTA | HyperAI