DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time Scaling

Qingyuan Wang, Barry Cardiff, Antoine Frappé +2

Conventional deep learning (DL) model compression and scaling methods focus on altering the model's components, impacting the results across all samples uniformly. However, since s…