Adjoined Networks: A Training Paradigm with Applications to Network Compression

Utkarsh Nath, Shrinu Kushagra, Yingzhen Yang

Compressing deep neural networks while maintaining accuracy is important when we want to deploy large, powerful models in production and/or edge devices. One common technique used…