Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling

Jun Yang, Fei Wang

Ensembling deep learning models is a shortcut to promote its implementation in new scenarios, which can avoid tuning neural networks, losses and training algorithms from scratch. H…