Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning.
Shijie Zhu|Hui Zhao|Tianshu Wu|Pengjie Wang|Hongbo Deng|Jian Xu|Bo Zheng
| Anthology ID: | DBLP:conf/wsdm/ZhuZW0DX025 |
|---|---|
| Volume: | Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025 |
| Year: | 2025 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 204-212 |
| URL: | https://doi.org/10.1145/3701551.3703503 |
| DOI: | https://doi.org/10.1145/3701551.3703503 |
| DBLP: | conf/wsdm/ZhuZW0DX025 |
| BibTeX: |
@inproceedings{zhu-2025-gradient,
author = {Shijie Zhu and
Hui Zhao and
Tianshu Wu and
Pengjie Wang and
Hongbo Deng and
Jian Xu and
Bo Zheng},
editor = {Wolfgang Nejdl and
S\"{o}ren Auer and
Meeyoung Cha and
Marie-Francine Moens and
Marc Najork},
title = {{Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning}},
booktitle = {{Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025}},
pages = {204--212},
publisher = {ACM},
year = {2025},
url = {https://doi.org/10.1145/3701551.3703503},
doi = {https://doi.org/10.1145/3701551.3703503}
}