methodology-15
AutoML
3260 papers • 126 benchmarks • 313 datasets
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) Source: CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in automl-15
Trend
Dataset
Best Model
Actions
Chalearn-AutoML-1
Chalearn-AutoML-1
OrdinalDataset
OrdinalDataset
Libraries
iUse these libraries to find automl-15 models and implementations
14 papers 139
