Denoising Improves Latent Space Geometry in Text Autoencoders

ICLR 2020 Anonymous

Neural language models have recently shown impressive gains in unconditional text generation, but controllable generation and manipulation of text remain challenging. In particular, controlling text via latent space operations in autoencoders has been difficult, in part due to chaotic latent space geometry... (read more)

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