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SotA/Methodology/Neural Architecture Search

Neural Architecture Search

85 benchmarks1915 papers

Neural architecture search (NAS) is a technique for automating the design of artificial neural networks (ANN), a widely used model in the field of machine learning. NAS essentially takes the process of a human manually tweaking a neural network and learning what works well, and automates this task to discover more complex architectures.

Image Credit : NAS with Reinforcement Learning

Benchmarks

Neural Architecture Search on ImageNet

Top-1 Error RateAccuracyParamsMACsFLOPs

Neural Architecture Search on NAS-Bench-201, ImageNet-16-120

Accuracy (Test)Accuracy (Val)Search time (s)

Neural Architecture Search on NAS-Bench-201, CIFAR-100

Accuracy (Test)Accuracy (Val)Search time (s)

Neural Architecture Search on NAS-Bench-201, CIFAR-10

Accuracy (Test)Accuracy (Val)Search time (s)

Neural Architecture Search on CIFAR-10

Search Time (GPU days)ParametersFLOPSAccuracy (% )Top-1 Error Rate

Neural Architecture Search on CIFAR-10 Image Classification

Percentage errorParamsSearch Time (GPU days)FLOPS

Neural Architecture Search on CIFAR-100

Percentage ErrorSearch Time (GPU days)Accuracy (% )FLOPSPARAMS

Neural Architecture Search on NATS-Bench Topology, CIFAR-10

Test AccuracyKendall's TauSpearman's Rho

Neural Architecture Search on NATS-Bench Topology, CIFAR-100

Test AccuracyKendall's TauSpearman's Rho

Neural Architecture Search on NATS-Bench Topology, ImageNet16-120

Test AccuracyKendall's TauSpearman's Rho

Neural Architecture Search on CINIC-10

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on DTD

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on FGVC Aircraft

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on Food-101

Accuracy (%)Accuracy (% )FLOPSPARAMS

Neural Architecture Search on NATS-Bench Size, CIFAR-10

Kendall's TauSpearman's RhoPearson RAcc. (test)Test AccuracyValidation Accuracy

Neural Architecture Search on NATS-Bench Size, CIFAR-100

Kendall's TauSpearman's RhoPearson RAcc. (test)Test AccuracyValidation Accuracy

Neural Architecture Search on Oxford 102 Flowers

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on Oxford-IIIT Pet Dataset

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on STL-10

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on Stanford Cars

Accuracy (%)FLOPSPARAMS

Neural Architecture Search on NATS-Bench Size, ImageNet16-120

Kendall's TauSpearman's RhoTest AccuracyValidation Accuracy

Neural Architecture Search on LIDC-IDRI

F1 scoreSpecificity (VEB+)

Neural Architecture Search on MNIST

R2

Neural Architecture Search on NAS-Bench-101

Spearman CorrelationAccuracy (%)

Neural Architecture Search on NAS-Bench-301

Accuracy (Val)

Neural Architecture Search on NAS-Bench-201

Accuracy (%)