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20172020
most citedAdversarial Text Generation via Feature-Mover's Distance

73 citations · 191 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.LG2020★ 58 cited

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

Pengyu Cheng, Weituo Hao, Shuyang Dai +3

Mutual information (MI) minimization has gained considerable interests in various machine learning tasks. However, estimating and minimizing MI in high-dimensional spaces remains a…

cs.LG2020

Bridging Maximum Likelihood and Adversarial Learning via -Divergence

Miaoyun Zhao, Yulai Cong, Shuyang Dai +1

Maximum likelihood (ML) and adversarial learning are two popular approaches for training generative models, and from many perspectives these techniques are complementary. ML learni…

cs.LG2020★ 4 cited

APo-VAE: Text Generation in Hyperbolic Space

Shuyang Dai, Zhe Gan, Yu Cheng +3

Natural language often exhibits inherent hierarchical structure ingrained with complex syntax and semantics. However, most state-of-the-art deep generative models learn embeddings…

cs.LG2019★ 8 cited

Contrastively Smoothed Class Alignment for Unsupervised Domain Adaptation

Shuyang Dai, Yu Cheng, Yizhe Zhang +3

Recent unsupervised approaches to domain adaptation primarily focus on minimizing the gap between the source and the target domains through refining the feature generator, in order…

cs.LG2018★ 24 cited

JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Yunchen Pu, Shuyang Dai, Zhe Gan +5

A new generative adversarial network is developed for joint distribution matching. Distinct from most existing approaches, that only learn conditional distributions, the proposed m…