An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks.
Yuke Wang|Boyuan Feng|Xueqiao Peng|Yufei Ding
| Anthology ID: | DBLP:conf/cikm/WangFPD21 |
|---|---|
| Volume: | CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021 |
| Year: | 2021 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 2050-2059 |
| URL: | https://doi.org/10.1145/3459637.3482230 |
| DOI: | https://doi.org/10.1145/3459637.3482230 |
| DBLP: | conf/cikm/WangFPD21 |
| BibTeX: |
@inproceedings{wang-2021-efficient,
author = {Yuke Wang and
Boyuan Feng and
Xueqiao Peng and
Yufei Ding},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {2050--2059},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482230},
doi = {https://doi.org/10.1145/3459637.3482230}
}