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Neural Program Learning from Input-Output Examples

Neural Program Learning from Input-Output Examples

Most deep learning research focuses on learning a single task at a time – on a fixed problem, given an input, predict the corresponding output. How should we handle problems where the task is not known beforehand? One potential framework to address this issue is program learning, in which the neural network produces outputs conditioned […]

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