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Self-Supervised Variational Auto-Encoders
Density estimation, compression, and data generation are crucial tasks in artificial intelligence. Variational Auto-Encoders (VAEs) constitute a single framework to achieve these goals. Here, we present a novel class of generative models, called self-supervised Variational Auto-Encoder (selfVAE), wh...
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| 出版年: | Entropy (Basel) |
|---|---|
| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2021
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8231894/ https://ncbi.nlm.nih.gov/pubmed/34198552 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23060747 |
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