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Prior work on training generative Visual Dialog models with reinforcement learning(Das et al.) has explored a Qbot-Abot image-guessing game and shown that this 'self-talk' approach can lead to improved performance at the downstream dialog-conditioned image-guessing task.
Jointly optimizing diversity and relevance in neural response generation
Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, and Bill Dolan. 2019 · 1902
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
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A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell. 2011 · 2011
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015 · 2015
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Adam: A Method for Stochastic Optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman. 2015 · 2015
Cited alongside, same era.
Sequence level training with recurrent neural networks
Marc’Aurelio Ranzato, Sumit Chopra, Michael Auli, and Wojciech Zaremba. 2016 · 2016
Cited alongside, same era.
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Vlad Serban, Alberto García-Durán, Çaglar Gülçehre, Sungjin Ahn, Sarath Chandar, Aaron C. Courville, and Yoshua Bengio. 2016 · 2016
Cited alongside, same era.
Natural language does not emerge ‘naturally’ in multi-agent dialog
Satwik Kottur, José MF Moura, Stefan Lee, and Dhruv Batra. 2017 · 2017
Cited alongside, same era.
Deal or no deal? end-to-end learning for negotiation dialogues
Mike Lewis, Denis Yarats, Yann N Dauphin, Devi Parikh, and Dhruv Batra. 2017 · 2017
Cited alongside, same era.
Visual Dialog
GuessWhat?! visual object discovery through multi-modal dialogue
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, and Aaron Courville. 2017 · 2017
Later among the works it cites.
Flipdial: A generative model for two-way visual dialogue
Daniela Massiceti, N Siddharth, Puneet K Dokania, and Philip HS Torr. 2018 · 2018
Later among the works it cites.
VisDial-RL-PyTorch
Nirbhay Modhe, Viraj Prabhu, Michael Cogswell, Satwik Kottur, Abhishek Das, Stefan Lee, Devi Parikh, and Dhruv Batra. 2018 · 2018
Later among the works it cites.
Generating informative and diverse conversational responses via adversarial information maximization
Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, and Bill Dolan. 2018 · 2018
Later among the works it cites.
Fast, diverse and accurate image captioning guided by part-of-speech
Aditya Deshpande, Jyoti Aneja, Liwei Wang, Alexander G Schwing, and David Forsyth. 2019 · 2019
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Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M.F. Moura, Devi Parikh, and Dhruv Batra. 2017a
Cited in the paper.
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning
Abhishek Das, Satwik Kottur, José M.F. Moura, Stefan Lee, and Dhruv Batra. 2017b
Cited in the paper.
A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a
Cited in the paper.
Deep Reinforcement Learning for Dialogue Generation
Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, and Dan Jurafsky. 2016b
Cited in the paper.