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提及 Generative ModelsVariational AutoencoderVAE 和 GAN 可以说是两座大山头 上上期的 GAN for NLP 一文中对 GAN 在 NLP 中的进展做了详细的介绍推荐错过的朋友不要再错过 虽然 GAN 在图像生成上效果显著 当然 VAE 也很强 但在 NLP 方面暂时还是 VAE 较为work 今天的分享作为姊妹篇 捂脸 对 VAE 在 NLP 的应用里选取几篇最具有代表性的 paper 进行介绍 Generating Sentences From a Continuous Spaces . ICLR 2016. Neural Variational Inference for Text Processing . ICML 2016. Language as a Latent Variable Discrete Generative Models for Sentence Compression . EMNLP 2016. 2 VAE 从 data 学到的是在 latent space 的 region而不是单个点 这里的 z.

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PaperWeekly

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提及 Generative ModelsVariational AutoencoderVAE 和 GAN 可以说是两座大山头 上上期的 GAN for NLP 一文中对 GAN 在 NLP 中的进展做了详细的介绍推荐错过的朋友不要再错过 虽然 GAN 在图像生成上效果显著 当然 VAE 也很强 但在 NLP 方面暂时还是 VAE 较为work 今天的分享作为姊妹篇 捂脸 对 VAE 在 NLP 的应用里选取几篇最具有代表性的 paper 进行介绍 Generating Sentences From a Continuous Spaces . ICLR 2016. Neural Variational Inference for Text Processing . ICML 2016. Language as a Latent Variable Discrete Generative Models for Sentence Compression . EMNLP 2016. 2 VAE 从 data 学到的是在 latent space 的 region而不是单个点 这里的 z.

PARSED CONTENT

The site had the following in the web page, "提及 Generative ModelsVariational AutoencoderVAE 和 GAN 可以说是两座大山头 上上期的 GAN for NLP 一文中对 GAN 在 NLP 中的进展做了详细的介绍推荐错过的朋友不要再错过 虽然 GAN 在图像生成上效果显著 当然 VAE 也很强 但在 NLP 方面暂时还是 VAE 较为work 今天的分享作为姊妹篇 捂脸 对 VAE 在 NLP 的应用里选取几篇最具有代表性的 paper 进行介绍 Generating Sentences From a Continuous Spaces." I observed that the web site stated " Neural Variational Inference for Text Processing ." They also stated " Language as a Latent Variable Discrete Generative Models for Sentence Compression . 2 VAE 从 data 学到的是在 latent space 的 region而不是单个点 这里的 z."

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