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Using Fast Weights to Attend to the Recent Past
Jimmy Ba and Geoffrey Hinton and Volodymyr Mnih and Joel Z. Leibo and Catalin Ionescu
arXiv e-Print archive - 2016 via arXiv
Keywords: stat.ML, cs.LG, cs.NE

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One-shot Learning with Memory-Augmented Neural Networks
Adam Santoro and Sergey Bartunov and Matthew Botvinick and Daan Wierstra and Timothy Lillicrap
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG

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Stochastic Backpropagation through Mixture Density Distributions
Alex Graves
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.NE

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Swapout: Learning an ensemble of deep architectures
Saurabh Singh and Derek Hoiem and David Forsyth
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.CV, cs.LG, cs.NE

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4 Comments
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Towards a Neural Statistician
Harrison Edwards and Amos Storkey
arXiv e-Print archive - 2016 via arXiv
Keywords: stat.ML, cs.LG

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Density estimation using Real NVP
Laurent Dinh and Jascha Sohl-Dickstein and Samy Bengio
arXiv e-Print archive - 2016 via arXiv
Keywords: cs.LG

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A Deep Reinforced Model for Abstractive Summarization
Romain Paulus and Caiming Xiong and Richard Socher
arXiv e-Print archive - 2017 via arXiv
Keywords: cs.CL

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