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An ideal cognitively-inspired memory system would compress and organize incoming items.
Estimation of parameters for a mixture of normal distributions
Victor Hasselblad · 1966
Earlier work this paper cites.
Episodic and semantic memory
Endel Tulving et al · 1972
Earlier work this paper cites.
Maximum likelihood from incomplete data via the em algorithm
Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977
Earlier work this paper cites.
Products of experts
Geoffrey E Hinton · 1999
Earlier work this paper cites.
A unifying review of linear gaussian models
Sam Roweis and Zoubin Ghahramani · 1999
Earlier work this paper cites.
Training products of experts by minimizing contrastive divergence
Geoffrey E Hinton · 2002
Earlier work this paper cites.
Products of gaussians
Christopher Williams, Felix V Agakov, and Stephen N Felderhof · 2002
Earlier work this paper cites.
Pattern recognition and machine learning
Christopher M Bishop · 2006
Earlier work this paper cites.
Semantic structure and episodic memory
Marc W Howard, Bing Jing, Kelly M Addis, and Michael J Kahana · 2007
Earlier work this paper cites.
Product of experts
Max Welling · 2007
Earlier work this paper cites.
Nonparametric bayesian learning of switching linear dynamical systems
Emily Fox, Erik B. Sudderth, Michael I. Jordan, and Alan S. Willsky · 2009
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma and Max Welling · 2013
Earlier work this paper cites.
Generalized product of experts for automatic and principled fusion of gaussian process predictions
Yanshuai Cao and David J Fleet · 2014
Earlier work this paper cites.
Statistical computations underlying the dynamics of memory updating
Samuel J Gershman, Angela Radulescu, Kenneth A Norman, and Yael Niv · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Earlier work this paper cites.
Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow, and Brendan Frey · 2015
Earlier work this paper cites.
Variational inference with normalizing flows
Danilo Jimenez Rezende and Shakir Mohamed · 2015
Earlier work this paper cites.
End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
Cited alongside, same era.
Gating of hippocampal activity, plasticity, and memory by entorhinal cortex long-range inhibition
Jayeeta Basu, Jeffrey D Zaremba, Stephanie K Cheung, Frederick L Hitti, Boris V Zemelman, Attila Losonczy, and Steven A Siegelbaum · 2016
Cited alongside, same era.
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
Cited alongside, same era.
What learning systems do intelligent agents need? complementary learning systems theory updated
Dharshan Kumaran, Demis Hassabis, and James L McClelland · 2016
Cited alongside, same era.
Remembering the past and imagining the future: Identifying and enhancing the contribution of episodic memory
Daniel L Schacter and Kevin P Madore · 2016
Cited alongside, same era.
Generative replay with feedback connections as a general strategy for continual learning
Gido M van de Ven and Andreas S Tolias · 2018
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Unsupervised predictive memory in a goal-directed agent
Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack Rae, Piotr Mirowski, Joel Z Leibo, Adam Santoro, et al · 2018
Later among the works it cites.
Meta-learning deep energy-based memory models
Sergey Bartunov, Jack W Rae, Simon Osindero, and Timothy P Lillicrap · 2019
Later among the works it cites.
Monet: Unsupervised scene decomposition and representation
Christopher P Burgess, Loic Matthey, Nicholas Watters, Rishabh Kabra, Irina Higgins, Matt Botvinick, and Alexander Lerchner · 2019
Later among the works it cites.
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Darla: Improving zero-shot transfer in reinforcement learning
Irina Higgins, Arka Pal, Andrei Rusu, Loic Matthey, Christopher Burgess, Alexander Pritzel, Matthew Botvinick, Charles Blundell, and Alexander Lerchner · 2017
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dsprites: Disentanglement testing sprites dataset
Loic Matthey, Irina Higgins, Demis Hassabis, and Alexander Lerchner · 2017
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Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean · 2017
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Online learning with gated linear networks
Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, and Peter Toth · 2017
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Towards a definition of disentangled representations
Irina Higgins, David Amos, David Pfau, Sebastien Racaniere, Loic Matthey, Danilo Rezende, and Alexander Lerchner · 2018
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Matrix capsules with em routing
Geoffrey E Hinton, Sara Sabour, and Nicholas Frosst · 2018
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Sparse attentive backtracking: Temporal credit assignment through reminding
Nan Rosemary Ke, Anirudh Goyal, Olexa Bilaniuk, Jonathan Binas, Michael C Mozer, Chris Pal, and Yoshua Bengio · 2018
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Generalization of reinforcement learners with working and episodic memory
Meire Fortunato, Melissa Tan, Ryan Faulkner, Steven Hansen, Adrià Puigdomènech Badia, Gavin Buttimore, Charles Deck, Joel Z Leibo, and Charles Blundell · 2019
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Structured event memory: a neuro-symbolic model of event cognition
Nicholas Franklin, Kenneth A Norman, Charan Ranganath, Jeffrey M Zacks, and Samuel J Gershman · 2019
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Recurrent independent mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, and Bernhard Schölkopf · 2019
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Shaping belief states with generative environment models for rl
Karol Gregor, Danilo Jimenez Rezende, Frederic Besse, Yan Wu, Hamza Merzic, and Aaron van den Oord · 2019
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Optimizing agent behavior over long time scales by transporting value
Chia-Chun Hung, Timothy Lillicrap, Josh Abramson, Yan Wu, Mehdi Mirza, Federico Carnevale, Arun Ahuja, and Greg Wayne · 2019
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Dirichlet variational autoencoder
Weonyoung Joo, Wonsung Lee, Sungrae Park, and Il-Chul Moon · 2019
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Metalearned neural memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, and Adam Trischler · 2019
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Mcp: Learning composable hierarchical control with multiplicative compositional policies
Xue Bin Peng, Michael Chang, Grace Zhang, Pieter Abbeel, and Sergey Levine · 2019
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Engram cell excitability state determines the efficacy of memory retrieval
Michele Pignatelli, Tomás J Ryan, Dheeraj S Roy, Chanel Lovett, Lillian M Smith, Shruti Muralidhar, and Susumu Tonegawa · 2019
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Experience replay for continual learning
David Rolnick, Arun Ahuja, Jonathan Schwarz, Timothy Lillicrap, and Gregory Wayne · 2019
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Spatial broadcast decoder: A simple architecture for learning disentangled representations in vaes
Nicholas Watters, Loic Matthey, Christopher P Burgess, and Alexander Lerchner · 2019
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Memo: A deep network for flexible combination of episodic memories
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster, Martin J. Chadwick, Vinicius Zambaldi, Demis Hassabis, Caswell Barry, Matthew Botvinick, Dharshan Kumaran, and Charles Blundell · 2020
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Context-modular memory networks support high-capacity, flexible, and robust associative memories
William F Podlaski, Everton J Agnes, and Tim P Vogels · 2020
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