MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.
Ke Ding|Xin Dong|Yong He|Lei Cheng|Chilin Fu|Zhaoxin Huan|Hai Li|Tan Yan|Liang Zhang|Xiaolu Zhang|Linjian Mo
| Anthology ID: | DBLP:conf/sigir/DingDHCFHLYZZM21 |
|---|---|
| Volume: | SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 |
| Year: | 2021 |
| Venue: | Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) |
| Publisher: | ACM |
| Pages: | 2237-2241 |
| URL: | https://doi.org/10.1145/3404835.3463022 |
| DOI: | https://doi.org/10.1145/3404835.3463022 |
| DBLP: | conf/sigir/DingDHCFHLYZZM21 |
| BibTeX: |
@inproceedings{ding-2021-mssm,
author = {Ke Ding and
Xin Dong and
Yong He and
Lei Cheng and
Chilin Fu and
Zhaoxin Huan and
Hai Li and
Tan Yan and
Liang Zhang and
Xiaolu Zhang and
Linjian Mo},
editor = {Fernando Diaz and
Chirag Shah and
Torsten Suel and
Pablo Castells and
Rosie Jones and
Tetsuya Sakai},
title = {{MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning}},
booktitle = {{SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021}},
pages = {2237--2241},
publisher = {ACM},
year = {2021},
url = {https://doi.org/10.1145/3404835.3463022},
doi = {https://doi.org/10.1145/3404835.3463022}
}