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A formal description of the compositionality of neural networks is associated directly with the formal grammar-structure of the objects it seeks to represent.
A stochastic grammar of images
Song-Chun Zhu and David Mumford · 2007
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A stochastic graph grammar for compositional object representation and recognition
Liang Lin, Tianfu Wu, Jake Porway, and Zijian Xu · 2009
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Morph: Development and optimization of a longitudinal age progression database
Allen W Rawls and Karl Ricanek · 2009
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URL http://sharenoesis.com/wp-content/uploads/2010/05/7ShapeFaceRemoveGuides.jpg
2010 (accessed October 1st, 2020) · 2010
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Image parsing with stochastic scene grammar
Yibiao Zhao and Song-Chun Zhu · 2011
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Stochastic and-or grammars: A unified framework and logic perspective
Kewei Tu · 2015
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
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Towards a unified compositional model for visual pattern modeling
Wei Tang, Pei Yu, Jiahuan Zhou, and Ying Wu · 2017
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Matrix capsules with em routing
Geoffrey E Hinton, Sara Sabour, and Nicholas Frosst · 2018
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Increasing the adversarial robustness and explainability of capsule networks with γ \gamma -capsules
David Peer, Sebastian Stabinger, and Antonio Rodriguez-Sanchez · 2018
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An optimization view on dynamic routing between capsules
Dilin Wang and Qiang Liu · 2018
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Star-caps: Capsule networks with straight-through attentive routing
Karim Ahmed and Lorenzo Torresani · 2019
A neural-symbolic architecture for inverse graphics improved by lifelong meta-learning
Michael Kissner and Helmut Mayer · 2019
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Aognets: Compositional grammatical architectures for deep learning
Xilai Li, Xi Song, and Tianfu Wu · 2019
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Capsule networks need an improved routing algorithm
Inyoung Paik, Taeyeong Kwak, and Injung Kim · 2019
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Deepcaps: Going deeper with capsule networks
Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, and Ranga Rodrigo · 2019
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Selfie: Refurbishing unclean samples for robust deep learning
Hwanjun Song, Minseok Kim, and Jae-Gil Lee · 2019
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Improving the robustness of capsule networks to image affine transformations
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Cited alongside, same era.
Attention routing between capsules
Jaewoong Choi, Hyun Seo, Suii Im, and Myungjoo Kang · 2019
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Jindong Gu and Volker Tresp · 2020
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Building deep equivariant capsule networks
Sai Raam Venkataraman, S Balasubramanian, and R Raghunatha Sarma · 2020
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