Fetching the paper…
Reading the bibliography…
We introduce CGA, a conditional VAE architecture, to control, generate, and augment text.
Learning factorial codes by predictability minimization
Jürgen Schmidhuber. 1992 · 1992
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
Earlier work this paper cites.
Auto-encoding variational Bayes
Diederik P. Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Generating sentences from a continuous space
Samuel Bowman, Luke Vilnis, Oriol Vinyals, Andrew Dai, Rafal Jozefowicz, and Samy Bengio. 2016 · 2016
Earlier work this paper cites.
Controlling politeness in neural machine translation via side constraints
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
Earlier work this paper cites.
Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing. 2017 · 2017
Earlier work this paper cites.
Fader networks: Manipulating images by sliding attributes
Guillaume Lample, Neil Zeghidour, Nicolas Usunier, Antoine Bordes, Ludovic Denoyer, and Marc’Aurelio Ranzato. 2017 · 2017
Cited alongside, same era.
Learning to pivot with adversarial networks
Gilles Louppe, Michael Kagan, and Kyle Cranmer. 2017 · 2017
Cited alongside, same era.
Style transfer from non-parallel text by cross-alignment
Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
InfoVAE: Information maximizing variational autoencoders
Shengjia Zhao, Jiaming Song, and Stefano Ermon. 2017 · 2017
Cited alongside, same era.
Universal sentence encoder for English
A style-aware content loss for real-time HD style transfer
Artsiom Sanakoyeu, Dmytro Kotovenko, Sabine Lang, and Bjorn Ommer. 2018 · 2018
Later among the works it cites.
Multiple-attribute text style transfer
Sandeep Subramanian, Guillaume Lample, Eric Michael Smith, Ludovic Denoyer, Marc’Aurelio Ranzato, and Y-Lan Boureau. 2018 · 2018
Later among the works it cites.
Hello, it’s gpt-2-how can i help you? towards the use of pretrained language models for task-oriented dialogue systems
Paweł Budzianowski and Ivan Vulić. 2019 · 2019
Later among the works it cites.
Disentangled representation learning for non-parallel text style transfer
Vineet John, Lili Mou, Hareesh Bahuleyan, and Olga Vechtomova. 2019 · 2019
Later among the works it cites.
Multiple text style transfer by using word-level conditional generative adversarial network with two-phase training
Chih-Te Lai, Yi-Te Hong, Hong-You Chen, Chi-Jen Lu, and Shou-De Lin. 2019 · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Daniel Cer, Yinfei Yang, Sheng-yi Kong, Nan Hua, Nicole Limtiaco, Rhomni St John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, et al. 2018 · 2018
Cited alongside, same era.
Style transfer in text: Exploration and evaluation
Zhenxin Fu, Xiaoye Tan, Nanyun Peng, Dongyan Zhao, and Rui Yan. 2018 · 2018
Cited alongside, same era.
Delete, retrieve, generate: A simple approach to sentiment and style transfer
Juncen Li, Robin Jia, He He, and Percy Liang. 2018 · 2018
Cited alongside, same era.
Content preserving text generation with attribute controls
Lajanugen Logeswaran, Honglak Lee, and Samy Bengio. 2018 · 2018
Cited alongside, same era.
“Transforming” Delete, Retrieve, Generate approach for controlled text style transfer
Akhilesh Sudhakar, Bhargav Upadhyay, and Arjun Maheswaran. 2019 · 2019
Later among the works it cites.
Controllable unsupervised text attribute transfer via editing entangled latent representation
Ke Wang, Hang Hua, and Xiaojun Wan. 2019 · 2019
Later among the works it cites.
EDA: Easy data augmentation techniques for boosting performance on text classification tasks
Jason Wei and Kai Zou. 2019 · 2019
Later among the works it cites.
Domain-adversarial training of neural networks
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand, and Victor Lempitsky. 2016 · 2030
Closest in time.