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Goal-oriented dialog has been given attention due to its numerous applications in artificial intelligence.
Does the chimpanzee have a theory of mind?
David Premack and Guy Woodruff · 1978
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Intention in the structure of action and interaction
Jerome S Bruner · 1981
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Computational simulations of the emergence of grammar
John Batali · 1998
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On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
Andrew Y Ng and Michael I Jordan · 2002
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Information theory, inference and learning algorithms
David JC MacKay · 2003
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An isu dialogue system exhibiting reinforcement learning of dialogue policies: generic slot-filling in the talk in-car system
Oliver Lemon, Kallirroi Georgila, James Henderson, and Matthew Stuttle · 2006
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Learning database content for spoken dialogue system design
Joseph Polifroni and Marilyn Walker · 2006
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Efficient selectivity and backup operators in monte-carlo tree search
Rémi Coulom · 2006
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Partially observable markov decision processes for spoken dialog systems
Jason D Williams and Steve Young · 2007
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Information-theoretic objective functions for lifelong learning
Byoung-Tak Zhang · 2013
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Learning phrase representations using rnn encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, 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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A neural conversational model
Oriol Vinyals and Quoc Le · 2015
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Hierarchical neural network generative models for movie dialogues
Iulian V Serban, Alessandro Sordoni, Yoshua Bengio, Aaron Courville, and Joelle Pineau · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2015
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Vqa: Visual question answering
Stanislaw Antol, Aishwarya Agrawal, Jiasen Lu, Margaret Mitchell, Dhruv Batra, C Lawrence Zitnick, and Devi Parikh · 2015
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A network-based end-to-end trainable task-oriented dialogue system
Tsung-Hsien Wen, David Vandyke, Nikola Mrksic, Milica Gasic, Lina M Rojas-Barahona, Pei-Hao Su, Stefan Ultes, and Steve Young · 2016
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Tiancheng Zhao and Maxine Eskenazi · 2016
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Generation and comprehension of unambiguous object descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L Yuille, and Kevin Murphy · 2016
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Reasoning about pragmatics with neural listeners and speakers
Jacob Andreas and Dan Klein · 2016
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Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2016
Colors in context: A pragmatic neural model for grounded language understanding
Will Monroe, Robert XD Hawkins, Noah D Goodman, and Christopher Potts · 2017
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Learning with opponent-learning awareness
Jakob N Foerster, Richard Y Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, and Igor Mordatch · 2017
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Question asking as program generation
Anselm Rothe, Brenden M Lake, and Todd Gureckis · 2017
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Natural language does not emerge ‘naturally’in multi-agent dialog
Satwik Kottur, José Moura, Stefan Lee, and Dhruv Batra · 2017
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Visual reference resolution using attention memory for visual dialog
Paul Hongsuck Seo, Andreas Lehrmann, Bohyung Han, and Leonid Sigal · 2017
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Cited alongside, same era.
Learning end-to-end goal-oriented dialog
Antoine Bordes and Jason Weston · 2017
Cited alongside, same era.
Guesswhat?! visual object discovery through multi-modal dialogue
Harm de Vries, Florian Strub, Sarath Chandar, Olivier Pietquin, Hugo Larochelle, and Aaron Courville · 2017
Cited alongside, same era.
Visual dialog
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José MF Moura, Devi Parikh, and Dhruv Batra · 2017
Cited alongside, same era.
End-to-end task-completion neural dialogue systems
Xuijun Li, Yun-Nung Chen, Lihong Li, and Jianfeng Gao · 2017
Cited alongside, same era.
Codraw: Visual dialog for collaborative drawing
Jin-Hwa Kim, Devi Parikh, Dhruv Batra, Byoung-Tak Zhang, and Yuandong Tian · 2017
Cited alongside, same era.
Learning cooperative visual dialog agents with deep reinforcement learning
Abhishek Das, Satwik Kottur, José MF Moura, Stefan Lee, and Dhruv Batra · 2017
Cited alongside, same era.
End-to-end optimization of goal-driven and visually grounded dialogue systems
Florian Strub, Harm de Vries, Jeremie Mary, Bilal Piot, Aaron Courville, and Olivier Pietquin · 2017
Cited alongside, same era.
Igor Mordatch and Pieter Abbeel · 2017
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Criteria for human-compatible ai in two-player vision-language tasks
Cheolho Han, Sang-Woo Lee, Yujung Heo, Wooyoung Kang, Jaehyun Jun, and Byoung-Tak Zhang · 2017
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Evaluating visual conversational agents via cooperative human-ai games
Prithvijit Chattopadhyay, Deshraj Yadav, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, and Devi Parikh · 2017
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Mastering the game of go without human knowledge
David Silver, Julian Schrittwieser, Karen Simonyan, Ioannis Antonoglou, Aja Huang, Arthur Guez, Thomas Hubert, Lucas Baker, Matthew Lai, Adrian Bolton, et al · 2017
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What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
Alex Kendall and Yarin Gal · 2017
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Model-agnostic meta-learning for fast adaptation of deep networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
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Emergence of linguistic communication from referential games with symbolic and pixel input
Angeliki Lazaridou, Karl Moritz Hermann Hermann, Karl Tuyls, and Stephen Clark · 2018
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Emergent language in a multi-modal, multi-step referential game
Katrina Evtimova, Andrew Drozdov, Douwe Kiela, and Kyunghyun Cho · 2018
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Multi-agent compositional communication learning from raw visual input
Edward Choi, Angeliki Lazaridou, and Nando de Freitas · 2018
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Unified pragmatic models for generating and following instructions
Daniel Fried, Jacob Andreas, and Dan Klein · 2018
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