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To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners.
Acute-eval: Improved dialogue evaluation with optimized questions and multi-turn comparisons
Margaret Li, Jason Weston, and Stephen Roller. 2019 · 1909
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Models for multiparty engagement in open-world dialog
Dan Bohus and Eric Horvitz. 2009 · 2009
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Torchvision the machine-vision package of torch
Sébastien Marcel and Yann Rodriguez. 2010 · 2010
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The second dialog state tracking challenge
Matthew Henderson, Blaise Thomson, and Jason D Williams. 2014 · 2014
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What we instagram: A first analysis of instagram photo content and user types
Yuheng Hu, Lydia Manikonda, and Subbarao Kambhampati. 2014 · 2014
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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier. 2014 · 2014
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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 · 2015
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Microsoft coco captions: Data collection and evaluation server
Xinlei Chen, Hao Fang, Tsung-Yi Lin, Ramakrishna Vedantam, Saurabh Gupta, Piotr Dollár, and C Lawrence Zitnick. 2015 · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. 2015 · 2015
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A neural conversational model
Oriol Vinyals and Quoc Le. 2015 · 2015
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Show and tell: A neural image caption generator
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan. 2015 · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Senticap: Generating image descriptions with sentiments
Alexander Patrick Mathews, Lexing Xie, and Xuming He. 2016 · 2016
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Yfcc100m: The new data in multimedia research
Bart Thomee, David A. Shamma, Gerald Friedland, Benjamin Elizalde, Karl Ni, Douglas Poland, Damian Borth, and Li-Jia Li. 2016 · 2016
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A wizard-of-oz study on a non-task-oriented dialog systems that reacts to user engagement
Zhou Yu, Leah Nicolich-Henkin, Alan W Black, and Alexander Rudnicky. 2016 · 2016
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Visual dialog
Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José MF Moura, Devi Parikh, and Dhruv Batra. 2017 · 2017
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Stylenet: Generating attractive visual captions with styles
Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, and Li Deng. 2017 · 2017
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Parlai: A dialog research software platform
A. H. Miller, W. Feng, A. Fisch, J. Lu, D. Batra, A. Bordes, D. Parikh, and J. Weston. 2017 · 2017
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Image-grounded conversations: Multimodal context for natural question and response generation
Emotional dialogue generation using image-grounded language models
Bernd Huber, Daniel McDuff, Chris Brockett, Michel Galley, and Bill Dolan. 2018 · 2018
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Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten. 2018 · 2018
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Semstyle: Learning to generate stylised image captions using unaligned text
Alexander Mathews, Lexing Xie, and Xuming He. 2018 · 2018
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Training millions of personalized dialogue agents
Pierre-Emmanuel Mazare, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
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Game-based video-context dialogue
Ramakanth Pasunuru and Mohit Bansal. 2018 · 2018
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Learning semantic textual similarity from conversations
Yinfei Yang, Steve Yuan, Daniel Cer, Sheng-yi Kong, Noah Constant, Petr Pilar, Heming Ge, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil. 2018 · 2018
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Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios Spithourakis, and Lucy Vanderwende. 2017 · 2017
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Dual attention networks for multimodal reasoning and matching
Hyeonseob Nam, Jung-Woo Ha, and Jeonghee Kim. 2016 · 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 · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He. 2017 · 2017
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Bottom-up and top-down attention for image captioning and vqa
Peter Anderson, Xiaodong He, Chris Buehler, Damien Teney, Mark Johnson, Stephen Gould, and Lei Zhang. 2018 · 2018
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Vse++: Improving visual-semantic embeddings with hard negatives
Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler. 2018 · 2018
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Look, imagine and match: Improving textual-visual cross-modal retrieval with generative models
J. Gu, J. Cai, S. Joty, L. Niu, and G. Wang. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
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Wizard of Wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2019 · 2019
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Mscap: Multi-style image captioning with unpaired stylized text
Longteng Guo, Jing Liu, Peng Yao, Jiangwei Li, and Hanqing Lu. 2019 · 2019
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Engaging image captioning via personality
Kurt Shuster, Samuel Humeau, Hexiang Hu, Antoine Bordes, and Jason Weston. 2019 · 2019
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The second conversational intelligence challenge (convai2)
Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander Miller, Kurt Shuster, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, et al. 2020 · 2020
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Show, attend and tell: Neural image caption generation with visual attention
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