Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.
Shanshan Zhong|Zhongzhan Huang|Daifeng Li|Wushao Wen|Jinghui Qin|Liang Lin
| Anthology ID: | DBLP:conf/www/ZhongHLWQL24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 3700-3711 |
| URL: | https://doi.org/10.1145/3589334.3645553 |
| DOI: | https://doi.org/10.1145/3589334.3645553 |
| DBLP: | conf/www/ZhongHLWQL24 |
| BibTeX: |
@inproceedings{zhong-2024-mirror,
author = {Shanshan Zhong and
Zhongzhan Huang and
Daifeng Li and
Wushao Wen and
Jinghui Qin and
Liang Lin},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {3700--3711},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645553},
doi = {https://doi.org/10.1145/3589334.3645553}
}