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In this paper we introduce a new inductive bias for capsule networks and call networks that use this prior $\gamma$-capsule networks.
Detecting and diagnosing adversarial images with class-conditional capsule reconstructions
Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, and Geoffrey E. Hinton · 1907
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Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
Kunihiko Fukushima · 1980
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Inferotemporal cortex and object vision
K. Tanaka · 1996
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Object recognition with gradient-based learning
Yann LeCun, Patrick Haffner, Léon Bottou, and Yoshua Bengio · 1999
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Learning methods for generic object recognition with invariance to pose and lighting
Yann LeCun, Fu Jie Huang, Leon Bottou, et al · 2004
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MNIST handwritten digit database
Yann LeCun and Corinna Cortes · 2010
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Transforming auto-encoders
Geoffrey E Hinton, Alex Krizhevsky, and Sida D Wang · 2011
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Deep inside convolutional networks: Visualising image classification models and saliency maps
Karen Simonyan, Andrea Vedaldi, and Andrew Zisserman · 2014
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Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
Anh Nguyen, Jason Yosinski, and Jeff Clune · 2015
Earlier work this paper cites.
Object detectors emerge in deep scene cnns
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2015
Cited alongside, same era.
Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E Hinton · 2017
Cited alongside, same era.
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017
Han Xiao, Kashif Rasul, and Roland Vollgraf · 2017
Cited alongside, same era.
Videocapsulenet: A simplified network for action detection
Kevin Duarte, Yogesh Rawat, and Mubarak Shah · 2018
Cited alongside, same era.
Matrix capsules with em routing
Geoffrey Hinton, Sara Sabour, and Nicholas Frosst · 2018
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
Avoiding implementation pitfalls of “matrix capsules with em routing” by hinton et al
Ashley Daniel Gritzman · 2019
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Adversarial examples are not bugs, they are features
Andrew Ilyas, Shibani Santurkar, Dimitris Tsipras, Logan Engstrom, Brandon Tran, and Aleksander Madry · 2019
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Stacked capsule autoencoders
Adam R Kosiorek, Sara Sabour, Yee Whye Teh, and Geoffrey E Hinton · 2019
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Experimental security research of tesla autopilot., 2019
Tencent Keen Security Lab · 2019
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On the vulnerability of capsule networks to adversarial attacks
Felix Michels, Tobias Uelwer, Eric Upschulte, and Stefan Harmeling · 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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Cited alongside, same era.
Fast capsnet for lung cancer screening
Aryan Mobiny and Hien Van Nguyen · 2018
Cited alongside, same era.
beta_v and beta_a
(anonymous) · 2019
Cited alongside, same era.
A critique of pure learning and what artificial neural networks can learn from animal brains
Anthony Zador · 2019
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3d point capsule networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, and Federico Tombari · 2019
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