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} }