AutoML
AutoML methods are used to automatically solve machine learning tasks without needing the user to specify or experiment with architectures, hyperparameters and other settings. Below you can find a continuously updating list of AutoML methods.
Methods
All 10 methods in this collection, most-tagged first. Year is the archive's introduced_year; the archive stores 2000 when it has none, shown here as “–”. Papers counts distinct papers the archive tags with the method. Click a heading to sort.
| Feature Selection | – | 1,602 |
| HPO Hyper-parameter optimization | – | 154 |
| MDL Minimum Description Length | – | 97 |
| AutoParsimony Automatic Search for Parsimonious Models | – | 13 |
| VEGA | – | 5 |
| Auto-Classifier | – | 2 |
| AutoML-Zero | – | 2 |
| Shape Adaptor | – | 2 |
| AutoSmart | – | 1 |
| LightAutoML | – | 1 |