Making Neural Programming Architectures Generalize via Recursion

21 Apr 2017Jonathon CaiRichard ShinDawn Song

Empirically, neural networks that attempt to learn programs from data have exhibited poor generalizability. Moreover, it has traditionally been difficult to reason about the behavior of these models beyond a certain level of input complexity... (read more)

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