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} }