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pro vyhledávání: '"Liu, Lucy Z."'
Autor:
Khaki, Samir, Sajedi, Ahmad, Wang, Kai, Liu, Lucy Z., Lawryshyn, Yuri A., Plataniotis, Konstantinos N.
Recent works in dataset distillation seek to minimize training expenses by generating a condensed synthetic dataset that encapsulates the information present in a larger real dataset. These approaches ultimately aim to attain test accuracy levels aki
Externí odkaz:
http://arxiv.org/abs/2405.01373
Autor:
Sajedi, Ahmad, Khaki, Samir, Amjadian, Ehsan, Liu, Lucy Z., Lawryshyn, Yuri A., Plataniotis, Konstantinos N.
Publikováno v:
booktitle = Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) month = October year = 2023 pages = 17097-17107
Researchers have long tried to minimize training costs in deep learning while maintaining strong generalization across diverse datasets. Emerging research on dataset distillation aims to reduce training costs by creating a small synthetic set that co
Externí odkaz:
http://arxiv.org/abs/2310.00093