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SotA/Methodology/AutoML

AutoML

96 benchmarks641 papers

Automated Machine Learning (AutoML) is a general concept which covers diverse techniques for automated model learning including automatic data preprocessing, architecture search, and model selection. Source: Evaluating recommender systems for AI-driven data science (1905.09205)

<span class="description-source">Source: CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms </span>

Benchmarks

AutoML on ImageNet

Top-1 Error RateAccuracyParamsMACsFLOPs

AutoML on NAS-Bench-201, ImageNet-16-120

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

AutoML on NAS-Bench-201, CIFAR-100

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

AutoML on NAS-Bench-201, CIFAR-10

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

AutoML on CIFAR-10

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

AutoML on CIFAR-10 Image Classification

Percentage errorParamsSearch Time (GPU days)FLOPS

AutoML on CIFAR-100

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

AutoML on Chalearn-AutoML-1

Rank (AutoML5)Set1 (F1)Set2 (PAC)Set3 (AUC)Set4 (ABS)Set5 (BAC)Duration

AutoML on NATS-Bench Topology, CIFAR-10

Test AccuracyKendall's TauSpearman's Rho

AutoML on NATS-Bench Topology, CIFAR-100

Test AccuracyKendall's TauSpearman's Rho

AutoML on NATS-Bench Topology, ImageNet16-120

Test AccuracyKendall's TauSpearman's Rho

AutoML on CINIC-10

Accuracy (%)FLOPSPARAMS

AutoML on DTD

Accuracy (%)FLOPSPARAMS

AutoML on FGVC Aircraft

Accuracy (%)FLOPSPARAMS

AutoML on Food-101

Accuracy (%)Accuracy (% )FLOPSPARAMS

AutoML on NATS-Bench Size, CIFAR-10

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

AutoML on NATS-Bench Size, CIFAR-100

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

AutoML on Oxford 102 Flowers

Accuracy (%)FLOPSPARAMS

AutoML on Oxford-IIIT Pet Dataset

Accuracy (%)FLOPSPARAMS

AutoML on STL-10

Accuracy (%)FLOPSPARAMS

AutoML on Stanford Cars

Accuracy (%)FLOPSPARAMS

AutoML on NATS-Bench Size, ImageNet16-120

Kendall's TauSpearman's RhoTest AccuracyValidation Accuracy

AutoML on Bayesmark

Mean

AutoML on Breast Cancer Coimbra Data Set

Accuracy

AutoML on LIDC-IDRI

F1 scoreSpecificity (VEB+)

AutoML on MNIST

R2

AutoML on NAS-Bench-101

Spearman CorrelationAccuracy (%)

AutoML on NAS-Bench-301

Accuracy (Val)

AutoML on Wine

accuracy

AutoML on NAS-Bench-201

Accuracy (%)

AutoML on OrdinalDataset

1:1 Accuracy