Research paper
Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation
WWW 2025
Abstract
The complete author-written abstract has not yet been supplied to this site. The verified publication metadata and primary source are available below; experimental claims should be checked against that source.
Citation
@article{2025-wasserstein-distillation,
title = {Bridging the Gap: Teacher-Assisted Wasserstein Knowledge Distillation for Efficient Multi-Modal Recommendation},
author = {Z Zhuang and H Du and H Han and Y Li and J Fu and JM Jose and Y Ni},
year = {2025},
journal = {WWW 2025},
doi = {10.1145/3696410.3714852},
url = {https://doi.org/10.1145/3696410.3714852},
}Related papers
- Bridging NIP and MLM: A Unified Meta-Learning Framework for Sequential Recommendation →
- Crossan: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation →
- Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation →