This paper has been published on ACML 2021.
Please see https://proceedings.mlr.press/v157/zeng21a/zeng21a.pdf
Zeng Y, Liu X, Sun L, et al. Iterative Deep Model Compression and Acceleration in the Frequency Domain[C]//Asian Conference on Machine Learning. PMLR, 2021: 331-346.
@inproceedings{zeng2021iterative,
title={Iterative Deep Model Compression and Acceleration in the Frequency Domain},
author={Zeng, Yao and Liu, Xusheng and Sun, Lintan and Li, Wenzhong and Fang, Yuchu and Lu, Sanglu},
booktitle={Asian Conference on Machine Learning},
pages={331--346},
year={2021},
organization={PMLR}
}
The code will be updated continuously.
Some other related papers:
- FIREPruning: Learning-based Filter Pruning for Convolutional Neural Network Compression. Please see https://www.acml-conf.org/2020/video/paper/fang20a