GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.
Ke Ding|Yong He|Xin Dong|Jieyu Yang|Liang Zhang|Ang Li|Xiaolu Zhang|Linjian Mo
| Anthology ID: | DBLP:conf/cikm/DingHDYZLZM22 |
|---|---|
| Volume: | Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022 |
| Year: | 2022 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 3918-3922 |
| URL: | https://doi.org/10.1145/3511808.3557603 |
| DOI: | https://doi.org/10.1145/3511808.3557603 |
| DBLP: | conf/cikm/DingHDYZLZM22 |
| BibTeX: |
@inproceedings{ding-2022-gflowft,
author = {Ke Ding and
Yong He and
Xin Dong and
Jieyu Yang and
Liang Zhang and
Ang Li and
Xiaolu Zhang and
Linjian Mo},
editor = {Mohammad Al Hasan and
Li Xiong},
title = {{GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems}},
booktitle = {{Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022}},
pages = {3918--3922},
publisher = {ACM},
year = {2022},
url = {https://doi.org/10.1145/3511808.3557603},
doi = {https://doi.org/10.1145/3511808.3557603}
}