2022
A Fast Post-Training Pruning Framework for Transformers
NeurIPS 2022accept
Pruning is an effective way to reduce the huge inference cost of Transformer models. However, prior work on pruning Transformers requires retraining the models. This can add high training cost and high complexity to model deployment, making it difficult to use in many practical situations. To addres…