Jang-Hyun Kim, Jinuk Kim, Seong Joon Oh, Sangdoo Yun, Hwanjun Song, Joonhyun Jeong, Jung-Woo Ha 0001, Hyun Oh Song. Dataset Condensation via Efficient Synthetic-Data Parameterization. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 11102-11118, PMLR, 2022. [doi]
@inproceedings{KimKOYSJ0S22,
title = {Dataset Condensation via Efficient Synthetic-Data Parameterization},
author = {Jang-Hyun Kim and Jinuk Kim and Seong Joon Oh and Sangdoo Yun and Hwanjun Song and Joonhyun Jeong and Jung-Woo Ha 0001 and Hyun Oh Song},
year = {2022},
url = {https://proceedings.mlr.press/v162/kim22c.html},
researchr = {https://researchr.org/publication/KimKOYSJ0S22},
cites = {0},
citedby = {0},
pages = {11102-11118},
booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
volume = {162},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}