Title

CCAP: Cooperative Context Aware Pruning for Neural Network Model Compression

Published In

2021 IEEE International Symposium on Multimedia (ISM)

Document Type

Citation

Publication Date

12-2021

Abstract

In this paper, we propose a new cross-domain model compression technique to yield a compact target model. We utilize a Cooperative Context-Aware Pruning (CCAP) module to produce sparse attention maps. They are then used to transmit the source models’ parameters to the target model precisely. We also leverage a weight-regular loss to minimize the difference between the source models’ and the target models’ parameters. Our quantitatively empirical evaluation shows that our CCAP module plus the weight-regular loss achieves lower model complexity without having serious performance decreasing.

Rights

Copyright IEEE 2021

DOI

10.1109/ISM52913.2021.00051

Persistent Identifier

https://archives.pdx.edu/ds/psu/37013

Publisher

IEEE

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