6 citations · 6 across the 3 of their papers we have counts for
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From Unsupervised Machine Translation To Adversarial Text Generation
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar +2
We present a self-attention based bilingual adversarial text generator (B-GAN) which can learn to generate text from the encoder representation of an unsupervised neural machine tr…
Bilingual-GAN: A Step Towards Parallel Text Generation
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar +2
Latent space based GAN methods and attention based sequence to sequence models have achieved impressive results in text generation and unsupervised machine translation respectively…
Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation
Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri +1
Text generation with generative adversarial networks (GANs) can be divided into the text-based and code-based categories according to the type of signals used for discrimination. I…