NTM and stack-augmented networks both generalize on sequence reversal but only the stack model succeeds on arithmetic expressions by monitoring different input categories and applying distinct memory-update policies.
Memory architectures in recurrent neural network language models
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Understanding Memory Modules on Learning Simple Algorithms
NTM and stack-augmented networks both generalize on sequence reversal but only the stack model succeeds on arithmetic expressions by monitoring different input categories and applying distinct memory-update policies.