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Humans can quickly associate stimuli to solve problems in novel contexts.
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Tensor decompositions and applications
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Brian P McLaughlin · 2009
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Paul Smolensky · 2012
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Samuel J Gershman, Kenneth A Norman, and Yael Niv · 2015
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On the state of the art of evaluation in neural language models
Gábor Melis, Chris Dyer, and Phil Blunsom · 2017
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Pointer sentinel mixture models
Stephen Merity, Caiming Xiong, James Bradbury, and Richard Socher · 2017
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Neural episodic control
Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adria Puigdomenech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, and Charles Blundell · 2017
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Gated fast weights for on-the-fly neural program generation
Imanol Schlag and Jürgen Schmidhuber · 2017
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Volker Tresp and Yunpu Ma · 2017
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Attention is all you need
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Memory integration: neural mechanisms and implications for behavior
Margaret L Schlichting and Alison R Preston · 2015
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Learning to generalize to new compositions in image understanding
Yuval Atzmon, Jonathan Berant, Vahid Kezami, Amir Globerson, and Gal Chechik · 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-Barwinska, Sergio Gomez Colmenarejo, Edward Grefenstette, Tiago Ramalho, John Agapiou, Adrià Puigdomenech Badia, Karl Moritz Hermann, Yori Zwols, Georg Ostrovski, Adam Cain, Helen King, Christopher Summerfield, Phil Blunsom, Koray Kavukcuoglu, and Demis Hassabis · 2016
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Dense associative memory for pattern recognition
Dmitry Krotov and John J Hopfield · 2016
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Ask me anything: Dynamic memory networks for natural language processing
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher · 2016
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Wei Zhang and Bowen Zhou · 2017
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Dynamic evaluation of neural sequence models
Ben Krause, Emmanuel Kahembwe, Iain Murray, and Steve Renals · 2018
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Regularizing and optimizing LSTM language models
Stephen Merity, Nitish Shirish Keskar, and Richard Socher · 2018
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Differentiable plasticity: training plastic neural networks with backpropagation
Thomas Miconi, Kenneth Stanley, and Jeff Clune · 2018
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A simple neural attentive meta-learner
Nikhil Mishra, Mostafa Rohaninejad, Xi Chen, and Pieter Abbeel · 2018
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Learning to reason with third order tensor products
Imanol Schlag and Jürgen Schmidhuber · 2018
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Ventromedial prefrontal cortex is necessary for normal associative inference and memory integration
Kelsey N Spalding, Margaret L Schlichting, Dagmar Zeithamova, Alison R Preston, Daniel Tranel, Melissa C Duff, and David E Warren · 2018
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Breaking the softmax bottleneck: A high-rank RNN language model
Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, and William W. Cohen · 2018
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Improving differentiable neural computers through memory masking, de-allocation, and link distribution sharpness control
Robert Csordas and Juergen Schmidhuber · 2019
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Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov · 2019
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Universal transformers
Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, and Lukasz Kaiser · 2019
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Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity
Thomas Miconi, Aditya Rawal, Jeff Clune, and Kenneth O. Stanley · 2019
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Metalearned neural memory
Tsendsuren Munkhdalai, Alessandro Sordoni, Tong Wang, and Adam Trischler · 2019
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Enhancing the transformer with explicit relational encoding for math problem solving
Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, and Jianfeng Gao · 2019
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Meta-learning deep energy-based memory models
Sergey Bartunov, Jack Rae, Simon Osindero, and Timothy Lillicrap · 2020
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Improving generalization in meta reinforcement learning using learned objectives
Louis Kirsch, Sjoerd van Steenkiste, and Juergen Schmidhuber · 2020
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Self-attentive associative memory
Hung Le, Truyen Tran, and Svetha Venkatesh · 2020
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Hopfield networks is all you need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Milena Pavlović, Geir Kjetil Sandve, Victor Greiff, et al · 2020
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