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Generating high-quality text with sufficient diversity is essential for a wide range of Natural Language Generation (NLG) tasks.
Connectionist models and their implications: Readings from cognitive science
David H. Ackley, Geoffrey E. Hinton, and Terrence J. Sejnowski · 1988
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Function optimization using connectionist reinforcement learning algorithms
Ronald J Williams and Jing Peng · 1991
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams · 1992
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Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts · 2011
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Mode regularized generative adversarial networks
Tong Che, Yanran Li, Athul Paul Jacob, Yoshua Bengio, and Wenjie Li · 2016
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Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau · 2016
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher · 2016
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Improved techniques for training gans
Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, and Xi Chen · 2016
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Maximum-likelihood augmented discrete generative adversarial networks
Tong Che, Yanran Li, Ruixiang Zhang, R Devon Hjelm, Wenjie Li, Yangqiu Song, and Yoshua Bengio · 2017
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Long text generation via adversarial training with leaked information
Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, and Jun Wang · 2017
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Adversarial ranking for language generation
Kevin Lin, Dianqi Li, Xiaodong He, Zhengyou Zhang, and Ming-Ting Sun · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2017
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Analyzing uncertainty in neural machine translation
Myle Ott, Michael Auli, David Granger, and Marc’Aurelio Ranzato · 2018
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On accurate evaluation of gans for language generation
Stanislau Semeniuta, Aliaksei Severyn, and Sylvain Gelly · 2018
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Towards diverse text generation with inverse reinforcement learning
Zhan Shi, Xinchi Chen, Qium Xipeng, and Xuanjing Huang · 2018
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Jingjing Xu, Xu Sun, Xuancheng Ren, Junyang Lin, Binzhen Wei, and Wei Li · 2018
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Texygen: A benchmarking platform for text generation models
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Yizhe Zhang, Zhe Gan, Kai Fan, Zhi Chen, Ricardo Henao, Dinghan Shen, and Lawrence Carin · 2017
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Adversarially regularized autoencoders for generating discrete structures
Junbo Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M Rush, and Yann LeCun · 2017
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Adversarial text generation via feature-mover’s distance
Liqun Chen, Shuyang Dai, Chenyang Tao, Dinghan Shen, Zhe Gan, Haichao Zhang, Yizhe Zhang, and Lawrence Carin · 2018
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Eval all, trust a few, do wrong to none: Comparing sentence generation models
Ondřej Cífka, Aliaksei Severyn, Enrique Alfonseca, and Katja Filippova · 2018
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Maskgan: Better text generation via filling in the _
William Fedus, Ian Goodfellow, and Andrew M Dai · 2018
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Cot: Cooperative training for generative modeling
Sidi Lu, Lantao Yu, Weinan Zhang, and Yong Yu
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Neural text generation: Past, present and beyond
Sidi Lu, Yaoming Zhu, Weinan Zhang, Jun Wang, and Yong Yu
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Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu · 2018
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Jointly measuring diversity and quality in text generation models
Danial Alihosseini, Ehsan Montahaei, and Mahdieh Soleymani Baghshah · 2019
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Training language gans from scratch
Cyprien de Masson d’Autume, Mihaela Rosca, Jack Rae, and Shakir Mohamed · 2019
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Salsa-text: self attentive latent space based adversarial text generation
Jules Gagnon-Marchand, Hamed Sadeghi, Md Akmal Haidar, and Mehdi Rezagholizadeh · 2019
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Adversarial discrete sequence generation without explicit neuralnetworks as discriminators
Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, and Jing Xiao · 2019
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RelGAN: Relational generative adversarial networks for text generation
Weili Nie, Nina Narodytska, and Ankit Patel · 2019
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