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Found 3 papers, 2 papers with code
On Accurate Evaluation of GANs for Language Generation
Generative Adversarial Networks (GANs) are a promising approach to language generation.
A Hybrid Convolutional Variational Autoencoder for Text Generation
In this paper we explore the effect of architectural choices on learning a Variational Autoencoder (VAE) for text generation.
Recurrent Dropout without Memory Loss
This paper presents a novel approach to recurrent neural network (RNN) regularization.
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