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--- |
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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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### 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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### Reference |
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https://github.com/snu-mllab/Efficient-Dataset-Condensation |
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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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``` |
