619 citations · 3.7k across the 114 of their papers we have counts for
4 papers · 2 filters
Structured Generative Adversarial Networks
Zhijie Deng, Hao Zhang, Xiaodan Liang +4
We study the problem of conditional generative modeling based on designated semantics or structures. Existing models that build conditional generators either require massive labele…
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Hao Zhang, Zeyu Zheng, Shizhen Xu +7
Deep learning models can take weeks to train on a single GPU-equipped machine, necessitating scaling out DL training to a GPU-cluster. However, current distributed DL implementatio…
Nonparametric Variational Auto-encoders for Hierarchical Representation Learning
Prasoon Goyal, Zhiting Hu, Xiaodan Liang +2
The recently developed variational autoencoders (VAEs) have proved to be an effective confluence of the rich representational power of neural networks with Bayesian methods. Howeve…
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…