EnsembleNet: End-to-End Optimization of Multi-headed Models

Hanhan Li, Joe Yue-Hei Ng, Paul Natsev

Ensembling is a universally useful approach to boost the performance of machine learning models. However, individual models in an ensemble were traditionally trained independently…