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We propose the Gaussian attention model for content-based neural memory access.
On computable numbers, with an application to the entscheidungsproblem: A correction
Alan Mathison Turing · 1938
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Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Learning structured embeddings of knowledge bases
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A three-way model for collective learning on multi-relational data
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Alex Graves · 2012
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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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Efficient estimation of word representations in vector space
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Reasoning with neural tensor networks for knowledge base completion
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Nonlinear latent factorization by embedding multiple user interests
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Large-scale simple question answering with memory networks
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Fast and accurate deep network learning by exponential linear units (elus)
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Gated graph sequence neural networks
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Word representations via gaussian embedding
Luke Vilnis and Andrew McCallum · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen · 2014
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Compositional vector space models for knowledge base completion
Arvind Neelakantan, Benjamin Roth, and Andrew McCallum
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Efficient non-parametric estimation of multiple embeddings per word in vector space
Arvind Neelakantan, Jeevan Shankar, Alexandre Passos, and Andrew McCallum
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End-to-end memory networks
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
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Fast and easy language understanding for dialog systems with microsoft language understanding intelligent service (LUIS)
Jason D Williams, Eslam Kamal, Hani Amr Mokhtar Ashour, Jessica Miller, and Geoff Zweig · 2015
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