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Vision-based emergent communication (EC) aims to learn to communicate through sketches and demystify the evolution of human communication.
The information bottleneck method
Naftali Tishby, Fernando C Pereira, and William Bialek · 1999
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Convention: A philosophical study
David Lewis · 2008
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 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
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Ask your neurons: A neural-based approach to answering questions about images
Mateusz Malinowski, Marcus Rohrbach, and Mario Fritz · 2015
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Exploring models and data for image question answering
Mengye Ren, Ryan Kiros, and Richard Zemel · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Fast r-cnn
Ross Girshick · 2015
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Learning to communicate with deep multi-agent reinforcement learning
Jakob Foerster, Ioannis Alexandros Assael, Nando De Freitas, and Shimon Whiteson · 2016
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Learning to communicate with deep multi-agent reinforcement learning
Jakob Foerster, Ioannis Alexandros Assael, Nando de Freitas, and Shimon Whiteson · 2016
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Hierarchical question-image co-attention for visual question answering
Jiasen Lu, Jianwei Yang, Dhruv Batra, and Devi Parikh · 2016
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Stacked attention networks for image question answering
Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, and Alex Smola · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dual attention networks for multimodal reasoning and matching
Hyeonseob Nam, Jung-Woo Ha, and Jeonghee Kim · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh · 2017
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Least squares generative adversarial networks
Xudong Mao, Qing Li, Haoran Xie, Raymond Y.K. Lau, Zhen Wang, and Stephen Paul Smolley · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Grad-cam: Visual explanations from deep networks via gradient-based localization
Ramprasaath R Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra · 2017
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Emergent communication through negotiation
Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, and Stephen Clark · 2018
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Lxmert: Learning cross-modality encoder representations from transformers, 2019
Hao Tan and Mohit Bansal · 2019
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Deep modular co-attention networks for visual question answering
Zhou Yu, Jun Yu, Yuhao Cui, Dacheng Tao, and Qi Tian · 2019
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Emergent multi-agent communication in the deep learning era
Angeliki Lazaridou and Marco Baroni · 2020
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Learning to cooperate: Emergent communication in multi-agent navigation
Ivana Kajić, Eser Aygün, and Doina Precup · 2020
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Emergent multi-agent communication in the deep learning era
Angeliki Lazaridou and Marco Baroni · 2020
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Emergence of grounded compositional language in multi-agent populations
Igor Mordatch and Pieter Abbeel · 2018
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Efficient compression in color naming and its evolution
Noga Zaslavsky, Charles Kemp, Terry Regier, and Naftali Tishby · 2018
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Semantic typology and efficient communication
Charles Kemp, Yang Xu, and Terry Regier · 2018
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Dpp-net: Device-aware progressive search for pareto-optimal neural architectures
Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, and Min Sun · 2018
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A neural representation of sketch drawings
David Ha and Douglas Eck · 2018
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Learning to sketch with shortcut cycle consistency
Jifei Song, Kaiyue Pang, Yi-Zhe Song, Tao Xiang, and Timothy M. Hospedales · 2018
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On the pitfalls of measuring emergent communication
Ryan Lowe, Jakob Foerster, Y-Lan Boureau, Joelle Pineau, and Yann Dauphin · 2019
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Pragmatic inference and visual abstraction enable contextual flexibility during visual communication
Judith E Fan, Robert D Hawkins, Mike Wu, and Noah D Goodman · 2020
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Designing games for enabling co-creation with social agents
Safinah Ali, Nisha Devasia, and Cynthia Breazeal · 2021
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Catalytic role of noise and necessity of inductive biases in the emergence of compositional communication
Łukasz Kuciński, Tomasz Korbak, Paweł Kołodziej, and Piotr Miłoś · 2021
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Emergent discrete communication in semantic spaces
Mycal Tucker, Huao Li, Siddharth Agrawal, Dana Hughes, Katia Sycara, Michael Lewis, and Julie A Shah · 2021
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Learning to draw: Emergent communication through sketching
Daniela Mihai and Jonathon Hare · 2021
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Sketchembednet: Learning novel concepts by imitating drawings
Alexander Wang, Mengye Ren, and Richard Zemel · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Clipasso: Semantically-aware object sketching
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, and Ariel Shamir · 2022
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Clipascene: Scene sketching with different types and levels of abstraction
Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, and Ariel Shamir · 2022
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Learning to generate line drawings that convey geometry and semantics
Caroline Chan, Frédo Durand, and Phillip Isola · 2022
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