Progressive Learning and Disentanglement of Hierarchical Representations
Learning rich representation from data is an important task for deep generative models such as variational auto-encoder (VAE). However, by extracting high-level abstractions in the bottom-up inference process, the goal of preserving all factors of variations for top-down generation is compromised... (read more)
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Methods used in the Paper
| METHOD | TYPE | |
|---|---|---|
VAE
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Generative Models |