Fetching the paper…
Reading the bibliography…
Generative adversarial nets (GAN) has been successfully introduced for generating text to alleviate the exposure bias.
Texygen: A benchmarking platform for text generation models
Y. Zhu, S. Lu, Z. Lei, J. Guo, W. Zhang, J. Wang, and Y. Yong · 1905
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
R. J. Williams · 1992
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Policy gradient methods for reinforcement learning with function approximation
R. S. Sutton, D. A. McAllester, S. P. Singh, and Y. Mansour · 2000
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
K. Papineni, S. Roukos, T. Ward, and W. J. Zhu · 2002
Earlier work this paper cites.
Recurrent neural network based language model
T. Mikolov, M. Karafiát, L. Burget, J. Černockỳ, and S. Khudanpur · 2010
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
D. Bahdanau, K. Cho, and Y. Bengio · 2014
Earlier work this paper cites.
Generative adversarial nets
I. J. Goodfellow, J. Pouget-Abadie, M. Mirza, X. Bing, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
Earlier work this paper cites.
Scheduled sampling for sequence prediction with recurrent neural networks
S. Bengio, O. Vinyals, N. Jaitly, and N. Shazeer · 2015
Earlier work this paper cites.
Sequence level training with recurrent neural networks
M. Ranzato, S. Chopra, M. Auli, and W. Zaremba · 2015
Earlier work this paper cites.
Show, attend and tell: Neural image caption generation with visual attention
K. Xu, J. Ba, R. Kiros, K. Cho, A. Courville, R. Salakhutdinov, R. Zemel, and Y. Bengio · 2015
Earlier work this paper cites.
Categorical reparameterization with gumbel-softmax
E. Jang, S. Gu, and B. Poole · 2016
Cited alongside, same era.
Improved techniques for training gans
T. Salimans, I. Goodfellow, W. Zaremba, V. Cheung, A. Radford, and X. Chen · 2016
Cited alongside, same era.
Mode regularized generative adversarial networks
C. Tong, Y. Li, A. P. Jacob, Y. Bengio, and W. Li · 2016
Cited alongside, same era.
Google’s neural machine translation system: Bridging the gap between human and machine translation
Y. Wu, M. Schuster, Z. Chen, Q. V. Le, M. Norouzi, W. Macherey, M. Krikun, C. Yuan, G. Qin, and K. Macherey · 2016
Cited alongside, same era.
Seqgan: Sequence generative adversarial nets with policy gradient
L. Yu, W. Zhang, J. Wang, and Y. Yu · 2016
Cited alongside, same era.
Long text generation via adversarial training with leaked information
J. Guo, S. Lu, C. Han, W. Zhang, and J. Wang · 2017
Veegan: Reducing mode collapse in gans using implicit variational learning
A. Srivastava, L. Valkov, C. Russell, M. Gutmann, and C. Sutton · 2017
Later among the works it cites.
Maximum-likelihood augmented discrete generative adversarial networks
C. Tong, Y. Li, R. Zhang, R. D. Hjelm, and Y. Bengio · 2017
Later among the works it cites.
Attention is all you need
A. Vaswani, N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin · 2017
Later among the works it cites.
Adversarial feature matching for text generation
Y. Zhang, G. Zhe, F. Kai, C. Zhi, and L. Carin · 2017
Later among the works it cites.
Adversarial text generation via feature-mover’s distance
L. Chen, S. Dai, C. Tao, D. Shen, Z. Gan, H. Zhang, Y. Zhang, and L. Carin · 2018
Later among the works it cites.
Maskgan: Better text generation via filling in the ______
W. Fedus, I. Goodfellow, and A. M. Dai · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Adversarial learning for neural dialogue generation
J. Li, W. Monroe, T. Shi, A. Ritter, and J. Dan · 2017
Cited alongside, same era.
Adversarial ranking for language generation
K. Lin, D. Li, X. He, Z. Zhang, and M. T. Sun · 2017
Cited alongside, same era.
Auto-painter: Cartoon image generation from sketch by using conditional wasserstein generative adversarial networks
Y. Liu, Z. Qin, W. Tao, and Z. Luo · 2017
Cited alongside, same era.
The concrete distribution: A continuous relaxation of discrete random variables
C. J. Maddison, A. Mnih, and Y. W. Teh · 2017
Cited alongside, same era.
Adversarial generation of natural language
S. Rajeswar, S. Subramanian, F. Dutil, C. Pal, and A. Courville · 2017
Cited alongside, same era.
Later among the works it cites.
Relational recurrent neural networks
A. Santoro, R. Faulkner, D. Raposo, J. Rae, M. Chrzanowski, T. Weber, D. Wierstra, O. Vinyals, R. Pascanu, and T. Lillicrap · 2018
Later among the works it cites.
On accurate evaluation of gans for language generation
S. Semeniuta, A. Severyn, and S. Gelly · 2018
Later among the works it cites.
Diversity-promoting gan: A cross-entropy based generative adversarial network for diversified text generation
J. Xu, X. Ren, J. Lin, and X. Sun · 2018
Later among the works it cites.
Toward diverse text generation with inverse reinforcement learning
S. Zhan, X. Chen, X. Qiu, and X. Huang · 2018
Later among the works it cites.
Relgan: Relational generative adversarial networks for text generation
W. Nie, N. Nina, and A. Patel · 2019
Closest in time.