Datasets:
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README.md
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@@ -101,5 +101,14 @@ The Multi-factor Sequential Disentanglement benchmark includes a **modified vari
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Y. Li, J. Yu, C. Zhang, C. Gan.
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*Disentangled Sequential Autoencoder*, ICML 2018.
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https://arxiv.org/abs/1803.02991
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⚠ **Note:** The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.
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Y. Li, J. Yu, C. Zhang, C. Gan.
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*Disentangled Sequential Autoencoder*, ICML 2018.
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https://arxiv.org/abs/1803.02991
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```
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@inproceedings{li2018disentangle,
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title = {Disentangled Sequential Autoencoder},
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author = {Li, Yingzhen and Mandt, Stephan},
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booktitle = {International Conference on Machine Learning},
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year = {2018}
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}
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```
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⚠ **Note:** The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.
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