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We present an end-to-end trained memory system that quickly adapts to new data and generates samples like them.
Neural networks and physical systems with emergent collective computational abilities
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A learning algorithm for boltzmann machines
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Exchangeability and related topics
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Sparse distributed memory
Pentti Kanerva · 1988
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A conditional probability interpretation of kanerva’s sparse distributed memory
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Brendan J Frey and David JC MacKay · 1998
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Matrix variate distributions , volume 104
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Information theory, inference and learning algorithms
David JC MacKay · 2003
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Patients with hippocampal amnesia cannot imagine new experiences
Demis Hassabis, Dharshan Kumaran, Seralynne D Vann, and Eleanor A Maguire · 2007
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Approximating bayesian inference with a sparse distributed memory system
Joshua T Abbott, Jessica B Hamrick, Thomas L Griffiths, et al · 2013
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra · 2014
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Importance weighted autoencoders
Yuri Burda, Roger Grosse, and Ruslan Salakhutdinov · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Learning to generate with memory
Chongxuan Li, Jun Zhu, and Bo Zhang · 2016
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One-shot generalization in deep generative models
Danilo J. Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, and Daan Wierstra · 2016
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Meta-learning with memory-augmented neural networks
Adam Santoro, Sergey Bartunov, Matthew Botvinick, Daan Wierstra, and Timothy Lillicrap · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Daan Wierstra, et al · 2016
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Variational memory addressing in generative models
Jörg Bornschein, Andriy Mnih, Daniel Zoran, and Danilo J Rezende · 2017
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Brenden M Lake, Ruslan Salakhutdinov, and Joshua B Tenenbaum · 2015
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Fast adaptation in generative models with generative matching networks
Sergey Bartunov and Dmitry P Vetrov · 2016
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Harrison Edwards and Amos Storkey · 2016
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Hybrid computing using a neural network with dynamic external memory
Alex Graves, Greg Wayne, Malcolm Reynolds, Tim Harley, Ivo Danihelka, Agnieszka Grabska-Barwińska, Sergio Gómez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, et al · 2016
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Generative temporal models with memory
Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo J Rezende, David Amos, and Timothy Lillicrap · 2017
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Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adrià Puigdomènech, Oriol Vinyals, Demis Hassabis, Daan Wierstra, and Charles Blundell · 2017
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