Scaling memory-augmented neural networks with sparse reads and writes
neural information processing systems, pp. 3621-3629, 2016.
Neural networks augmented with external memory have the ability to learn algorithmic solutions to complex tasks. These models appear promising for applications such as language modeling and machine translation. However, they scale poorly in both space and time as the amount of memory grows --- limiting their applicability to real-world do...More
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