Time Series Ensembling

Traditionally, only the last checkpoint of a training run is used for final model prediction, but so much more data is accumulated during training. In this talk, we will discuss ways of utilising data from the entire training trajectory in the context of image classification to improve final model performance, at a fraction of the cost of traditional ensembles.