2019
Rate Distortion For Model Compression:From Theory To Practice
ICML 2019oral
The enormous size of modern deep neural net-works makes it challenging to deploy those models in memory and communication limited scenarios. Thus, compressing a trained model without a significant loss in performance has become an increasingly important task. Tremendous advances has been made recent…