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  license: mit
 
 
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  license: mit
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+ data_type: image (0-1 ranged float)
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+
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  ---
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+
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+ ### Data summary
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+ - This repository contains small synthetic data for Image datasets; MNIST, SVHN, and CIFAR-10.
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+ - Each torch file contains the images and corresponding labels of sizes ranging from 1,10,50 images per class (IPC).
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+ - For more details, please refer to our GitHub page and paper below.
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+
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+ ### Reference
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+ https://github.com/snu-mllab/Efficient-Dataset-Condensation
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+
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+ ### Citation
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+ ```
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+ @inproceedings{kimICML22,
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+ title = {Dataset Condensation via Efficient Synthetic-Data Parameterization},
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+ author = {Kim, Jang-Hyun and Kim, Jinuk and Oh, Seong Joon and Yun, Sangdoo and Song, Hwanjun and Jeong, Joonhyun and Ha, Jung-Woo and Song, Hyun Oh},
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+ booktitle = {International Conference on Machine Learning (ICML)},
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+ year = {2022}
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+ }
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+ ```