Better Prediction

Reduce model variance with ensemble learning

Combine models from multiple runs with model averaging ensemble

Contribute proportional to trust with weighted average ensemble

Fit models on different samples with resampling ensembles

Models from from continuous epochs with horizontal voting ensembles

Cyclic learning rates and snapshot ensembles

Learn to combine predictions with stacked generalization ensembles

Combine model parameters with average model weights ensemble

Issues Log