Making Neural Programming Architectures Generalize via Recursion

Jonathon Cai, Richard Shin, Dawn 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 behavi…