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Generative adversarial networks (GANs) have achieved significant success in generating real-valued data.
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Show and tell: A neural image caption generator
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Discriminative regularization for generative models
A. Lamb, V. Dumoulin, and A. Courville · 2016
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f-GAN: Training generative neural samplers using variational divergence minimization
S. Nowozin, B. Cseke, and R. Tomioka · 2016
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Sequence level training with recurrent neural networks
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Adversarial symmetric variational autoencoder
Y. Pu, W. Wang, R. Henao, L. Chen, Z. Gan, C. Li, and L. Carin · 2017
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Style transfer from non-parallel text by cross-alignment
T. Shen, T. Lei, R. Barzilay, and T. Jaakkola · 2017
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SeqGAN: Sequence generative adversarial nets with policy gradient
L. Yu, W. Zhang, J. Wang, and Y. Yu · 2017
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Adversarial feature matching for text generation
Y. Zhang, Z. Gan, K. Fan, Z. Chen, R. Henao, D. Shen, and L. Carin · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
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Unsupervised neural machine translation
M. Artetxe, G. Labaka, E. Agirre, and K. Cho · 2018
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T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
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Sequence-to-sequence learning as beam-search optimization
S. Wiseman and A. M. Rush · 2016
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Towards principled methods for training generative adversarial networks
M. Arjovsky and L. Bottou · 2017
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Wasserstein generative adversarial networks
M. Arjovsky, S. Chintala, and L. Bottou · 2017
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Maximum-likelihood augmented discrete generative adversarial networks
T. Che, Y. Li, R. Zhang, R. D. Hjelm, W. Li, Y. Song, and Y. Bengio · 2017
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Word translation without parallel data
A. Conneau, G. Lample, M. Ranzato, L. Denoyer, and H. Jégou · 2017
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Triangle generative adversarial networks
Z. Gan, L. Chen, W. Wang, Y. Pu, Y. Zhang, H. Liu, C. Li, and L. Carin · 2017
Cited alongside, same era.
Symmetric variational autoencoder and connections to adversarial learning
L. Chen, S. Dai, Y. Pu, E. Zhou, C. Li, Q. Su, C. Chen, and L. Carin · 2018
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MaskGAN: Better text generation via filling in the _
W. Fedus, I. Goodfellow, and A. M. Dai · 2018
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Learning generative models with sinkhorn divergences
A. Genevay, G. Peyré, and M. Cuturi · 2018
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Unsupervised cipher cracking using discrete gans
A. N. Gomez, S. Huang, I. Zhang, B. M. Li, M. Osama, and L. Kaiser · 2018
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Long text generation via adversarial training with leaked information
J. Guo, S. Lu, H. Cai, W. Zhang, Y. Yu, and J. Wang · 2018
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Phrase-based & neural unsupervised machine translation
G. Lample, M. Ott, A. Conneau, L. Denoyer, and M. Ranzato · 2018
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Delete, retrieve, generate: A simple approach to sentiment and style transfer
J. Li, R. Jia, H. He, and P. Liang · 2018
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Style transfer through back-translation
S. Prabhumoye, Y. Tsvetkov, R. Salakhutdinov, and A. W. Black · 2018
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Jointgan: Multi-domain joint distribution learning with generative adversarial nets
Y. Pu, S. Dai, Z. Gan, W. Wang, G. Wang, Y. Zhang, R. Henao, and L. Carin · 2018
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Improving GANs using optimal transport
T. Salimans, H. Zhang, A. Radford, and D. Metaxas · 2018
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Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms
D. Shen, G. Wang, W. Wang, M. R. Min, Q. Su, Y. Zhang, C. Li, R. Henao, and L. Carin · 2018
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Deconvolutional latent-variable model for text sequence matching
D. Shen, Y. Zhang, R. Henao, Q. Su, and L. Carin · 2018
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Chi-square generative adversarial network
C. Tao, L. Chen, R. Henao, J. Feng, and L. Carin · 2018
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A fast proximal point method for Wasserstein distance
Y. Xie, X. Wang, R. Wang, and H. Zha · 2018
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Texygen: A benchmarking platform for text generation models
Y. Zhu, S. Lu, L. Zheng, J. Guo, W. Zhang, J. Wang, and Y. Yu · 2018
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