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Dynamic data subset selection for image classification
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由 Z Yin 著作2024被引用 4 次 — In this paper, we propose a data selection method for dynamically determining subset ratios based on model performance using only a training set.
Dynamic data subset selection for image classification
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由 Z Yin 著作2024被引用 4 次 — Highlights•Propose a data selection method to dynamically determine the subset ratio.•Study the role of intelligent data subset ratios.
Embrace sustainable AI: : Dynamic data subset selection for ...
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2024年7月9日 — Data selection is commonly used to reduce costs and energy usage by training on a subset of available data.
Embrace sustainable AI: Dynamic data subset selection for ...
Harvard University
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由 Z Yin 著作2024被引用 4 次 — Our method speeds up various subset ratios by up to 2.2x on CIFAR-10, 1.9x on CIFAR-100, 2.0x on TinyImageNet, and 2.3x on ImageNet with negligible accuracy ...
Embrace sustainable AI: Dynamic data subset selection for ...
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It is found that reciprocal learning algorithms converge at linear rates to an approximately optimal model under relatively mild assumptions on the loss ...
Dynamic data subset selection for image classification
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2024年12月9日 — This article reviews the Once Learning mechanism that was proposed 23 years ago and the subsequent successes of One-shot Learning in image ...
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Embrace sustainable AI: Dynamic data subset selection for image classification NSTL国家科技图书文献中心. Yin Z. | Pu J.... - 《Pattern Recognition: The ...
Xiangyang Xue - Home - ACM Digital Library
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Embrace sustainable AI: Dynamic data subset selection for image classification · Author Picture Zimo Yin. School of Computer Science, Fudan University, Shanghai ...
Jian Pu
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Embrace sustainable AI: Dynamic data subset selection for image classification · Zimo Yin, Jian Pu, Ru Wan, Xiangyang Xue. Published: 31 Dec 2023, Last ...
Zimo Yin (0000-0003-2562-5878)
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Embrace sustainable AI: Dynamic data subset selection for image classification. Pattern Recognition. 2024-02 | Journal article. DOI: 10.1016/j.patcog ...
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