2023
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions
AISTATS 2023poster
Pruning is a promising approach to compress deep learning models in order to deploy them on resource-constrained edge devices. However, many existing pruning solutions are based on unstructured pruning, which yields models that cannot efficiently run on commodity hardware; and they often require use…