The Variational Homoencoder: Learning to learn high capacity generative models from few examples
© 34th Conference on Uncertainty in Artificial Intelligence 2018. All rights reserved. Hierarchical Bayesian methods can unify many related tasks (e.g. k-shot classification, conditional and unconditional generation) as inference within a single generative model. However, when this generative model...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2021
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| Online Access: | https://hdl.handle.net/1721.1/137610 |