Yonggan Fu, Haichuan Yang, Jiayi Yuan, Meng Li, Cheng Wan, Raghuraman Krishnamoorthi, Vikas Chandra, Yingyan Lin. DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 6849-6862, PMLR, 2022. [doi]
@inproceedings{FuYYLWKCL22,
title = {DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks},
author = {Yonggan Fu and Haichuan Yang and Jiayi Yuan and Meng Li and Cheng Wan and Raghuraman Krishnamoorthi and Vikas Chandra and Yingyan Lin},
year = {2022},
url = {https://proceedings.mlr.press/v162/fu22c.html},
researchr = {https://researchr.org/publication/FuYYLWKCL22},
cites = {0},
citedby = {0},
pages = {6849-6862},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}