Learning Implicit Text Generation via Feature Matching

ACL 2020 Inkit PadhiPierre DogninKe BaiCicero Nogueira dos SantosVijil ChenthamarakshanYoussef MrouehPayel Das

Generative feature matching network (GFMN) is an approach for training implicit generative models for images by performing moment matching on features from pre-trained neural networks. In this paper, we present new GFMN formulations that are effective for sequential data... (read more)

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