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Sequence transduction with recurrent neural networks
Original
Alex Graves. 2012 · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Original
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
A survey on metrics for the evaluation of user simulations
Olivier Pietquin and Helen Hastie. 2013 · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Original
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Original
Diederik Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Semi-supervised learning with deep generative models
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling. 2014 · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
Original
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.

Similar

Generating sentences from a continuous space
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Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio. 2015 · 2015
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deltableu: A discriminative metric for generation tasks with intrinsically diverse targets
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Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, and Bill Dolan. 2015 · 2015
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The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
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Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
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Neural responding machine for short-text conversation
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Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
Cited alongside, same era.

Then

Attention with intention for a neural network conversation model
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Kaisheng Yao, Geoffrey Zweig, and Baolin Peng. 2015 · 2015
Later among the works it cites.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Original
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016 · 2016
Later among the works it cites.
How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Original
Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Later among the works it cites.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016 · 2016
Later among the works it cites.

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Reading the bibliography…

2017

A Conditional Variational Framework for Dialog Generation

Shen, Xiaoyu, Su, Hui, Li, Yanran et al.

Understand

Deep latent variable models have been shown to facilitate the response generation for open-domain dialog systems.

However, these latent variables are highly randomized, leading to uncontrollable generated responses.
In this paper, we propose a framework allowing conditional response generation based on specific attributes.
These attributes can be either manually assigned or automatically detected.

Built on

Sequence transduction with recurrent neural networks
Original
Alex Graves. 2012 · 2012
Earlier work this paper cites.
Auto-encoding variational bayes
Original
Diederik P Kingma and Max Welling. 2013 · 2013
Earlier work this paper cites.
A survey on metrics for the evaluation of user simulations
Olivier Pietquin and Helen Hastie. 2013 · 2013
Earlier work this paper cites.
Learning phrase representations using rnn encoder-decoder for statistical machine translation
Original
Kyunghyun Cho, Bart Van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Original
Diederik Kingma and Jimmy Ba. 2014 · 2014
Earlier work this paper cites.
Semi-supervised learning with deep generative models
Diederik P Kingma, Shakir Mohamed, Danilo Jimenez Rezende, and Max Welling. 2014 · 2014
Earlier work this paper cites.
Stochastic backpropagation and approximate inference in deep generative models
Original
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.

Similar

Generating sentences from a continuous space
Original
Samuel R Bowman, Luke Vilnis, Oriol Vinyals, Andrew M Dai, Rafal Jozefowicz, and Samy Bengio. 2015 · 2015
Cited alongside, same era.
deltableu: A discriminative metric for generation tasks with intrinsically diverse targets
Original
Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, and Bill Dolan. 2015 · 2015
Cited alongside, same era.
The ubuntu dialogue corpus: A large dataset for research in unstructured multi-turn dialogue systems
Original
Ryan Lowe, Nissan Pow, Iulian Serban, and Joelle Pineau. 2015 · 2015
Cited alongside, same era.
Neural responding machine for short-text conversation
Original
Lifeng Shang, Zhengdong Lu, and Hang Li. 2015 · 2015
Cited alongside, same era.

Then

Attention with intention for a neural network conversation model
Original
Kaisheng Yao, Geoffrey Zweig, and Baolin Peng. 2015 · 2015
Later among the works it cites.
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
Original
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, et al. 2016 · 2016
Later among the works it cites.
How not to evaluate your dialogue system: An empirical study of unsupervised evaluation metrics for dialogue response generation
Original
Chia-Wei Liu, Ryan Lowe, Iulian V Serban, Michael Noseworthy, Laurent Charlin, and Joelle Pineau. 2016 · 2016
Later among the works it cites.
Building end-to-end dialogue systems using generative hierarchical neural network models
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau. 2016 · 2016
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Learning structured output representation using deep conditional generative models

Kihyuk Sohn, Honglak Lee, and Xinchen Yan. 2015 · 2015

Cited alongside, same era.

A neural network approach to context-sensitive generation of conversational responses

Original

Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, and Bill Dolan. 2015 · 2015

Cited alongside, same era.

A neural conversational model

Original

Oriol Vinyals and Quoc Le. 2015 · 2015

Cited alongside, same era.

Attribute2image: Conditional image generation from visual attributes

Xinchen Yan, Jimei Yang, Kihyuk Sohn, and Honglak Lee. 2016 · 2016

Later among the works it cites.

A hybrid convolutional variational autoencoder for text generation

Original

Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017 · 2017

Closest in time.

A hierarchical latent variable encoder-decoder model for generating dialogues

Iulian Vlad Serban, Alessandro Sordoni, Ryan Lowe, Laurent Charlin, Joelle Pineau, Aaron Courville, and Yoshua Bengio. 2017 · 2017

Closest in time.