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Memory networks are neural networks with an explicit memory component that can be both read and written to by the network.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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Efficient online spherical k-means clustering
Shi Zhong · 2005
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Hierarchical probabilistic neural network language model
Frederic Morin and Yoshua Bengio · 2005
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Maximum inner-product search using cone trees
Parikshit Ram and Alexander G. Gray · 2012
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko · 2013
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Alex Graves, Greg Wayne, and Ivo Danihelka · 2014
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Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces
Yoram Bachrach et al · 2014
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Asymmetric LSH (ALSH) for sublinear time maximum inner product search (MIPS)
Anshumali Shrivastava and Ping Li · 2014
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Neural variational inference and learning in belief networks
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Adam: A method for stochastic optimization
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Deep networks with large output spaces
Sudheendra Vijayanarasimhan, Jon Shlens, Rajat Monga, and Jay Yagnik · 2014
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Memory networks
Jason Weston, Sumit Chopra, and Antoine Bordes · 2015
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On symmetric and asymmetric lshs for inner product search
Behnam Neyshabur and Nathan Srebro · 2015
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Clustering is efficient for approximate maximum inner product search
Alex Auvolat, Sarath Chandar, Pascal Vincent, Hugo Larochelle, and Yoshua Bengio · 2015
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Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston, and Rob Fergus · 2015
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Evaluating prerequisite qualities for learning end-to-end dialog systems
Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander Miller, Arthur Szlam, and Jason Weston · 2015
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Ankit Kumar et al · 2015
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Large-scale simple question answering with memory networks
Antoine Bordes, Nicolas Usunier, Sumit Chopra, and Jason Weston · 2015
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Improved asymmetric locality sensitive hashing (alsh) for maximum inner product search (mips)
Anshumali Shrivastava and Ping Li · 2015
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Towards ai-complete question answering: a set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomas Mikolov
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Wojciech Zaremba and Ilya Sutskever · 2015
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On using very large target vocabulary for neural machine translation
Sébastien Jean, KyungHyun Cho, Roland Memisevic, and Yoshua Bengio · 2015
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Dynamic memory networks for visual and textual question answering
Caiming Xiong, Stephen Merity, and Richard Socher · 2016
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Scalable and sustainable deep learning via randomized hashing
Ryan Spring and Anshumali Shrivastava · 2016
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