AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization.
Aoqi Wu|Junming Liu|Yuwei Zhang|Weiquan Huang|Liang Hu|Yifan Yang|Qi Zhang|Jiaxing Miao|Yuhan Tang|Zhongyuan Lai
| Anthology ID: | DBLP:conf/www/WuLZHHYZMTL26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 9330-9340 |
| URL: | https://doi.org/10.1145/3774904.3792973 |
| DOI: | https://doi.org/10.1145/3774904.3792973 |
| DBLP: | conf/www/WuLZHHYZMTL26 |
| BibTeX: |
@inproceedings{wu-2026-amid,
author = {Aoqi Wu and
Junming Liu and
Yuwei Zhang and
Weiquan Huang and
Liang Hu and
Yifan Yang and
Qi Zhang and
Jiaxing Miao and
Yuhan Tang and
Zhongyuan Lai},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {9330--9340},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792973},
doi = {https://doi.org/10.1145/3774904.3792973}
}