500 citations · 1.3k across the 23 of their papers we have counts for
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On Unifying Deep Generative Models
Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov +1
Deep generative models have achieved impressive success in recent years. Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), as emerging families for genera…
Toward Controlled Generation of Text
Zhiting Hu, Zichao Yang, Xiaodan Liang +2
Generic generation and manipulation of text is challenging and has limited success compared to recent deep generative modeling in visual domain. This paper aims at generating plaus…
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions
Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov +1
Recent work on generative modeling of text has found that variational auto-encoders (VAE) incorporating LSTM decoders perform worse than simpler LSTM language models (Bowman et al.…