Papers with Code · CC BY-SA 4.0
AutoML
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>
데이터셋
31개ImageNetNAS-Bench-201, ImageNet-16-120CIFAR-10NAS-Bench-201, CIFAR-100NAS-Bench-201, CIFAR-10CIFAR-10 Image ClassificationCIFAR-100NATS-Bench Topology, CIFAR-10NATS-Bench Topology, CIFAR-100NATS-Bench Topology, ImageNet16-120Chalearn-AutoML-1Food-101NAS-Bench-101NATS-Bench Size, CIFAR-10NATS-Bench Size, CIFAR-100CINIC-10DTDFGVC AircraftNATS-Bench Size, ImageNet16-120Oxford 102 FlowersOxford-IIIT Pet DatasetSTL-10Stanford CarsBayesmarkNAS-Bench-201Breast Cancer Coimbra Data SetLIDC-IDRIMNISTNAS-Bench-301OrdinalDataset