Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study

Anton Abramochkin, Radu Timofte, Dmitry Ignatov

The choice of loss function and optimizer is an important decision, that shapes further model training. Yet automated architecture search pipelines (AutoML) benefits significantly…