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} }