FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning.
Xin Dai|Xiangnan Kong|Tian Guo|Xinlu He
| Anthology ID: | DBLP:conf/cikm/DaiK0H21 |
|---|---|
| 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: | 322-331 |
| URL: | https://doi.org/10.1145/3459637.3482432 |
| DOI: | https://doi.org/10.1145/3459637.3482432 |
| DBLP: | conf/cikm/DaiK0H21 |
| BibTeX: |
@inproceedings{dai-2021-fishnet,
author = {Xin Dai and
Xiangnan Kong and
Tian Guo and
Xinlu He},
editor = {Gianluca Demartini and
Guido Zuccon and
J. Shane Culpepper and
Zi Huang and
Hanghang Tong},
title = {{FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning}},
booktitle = {{CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021}},
pages = {322--331},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3459637.3482432},
doi = {https://doi.org/10.1145/3459637.3482432}
}