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Workshop

Neural Program Search: Solving Programming Tasks from Description and Examples

Illia Polosukhin ·

East Meeting Level 8 + 15 #12

Tue 1 May, 4:30 p.m. PDT

We present a Neural Program Search, an algorithm to generate programs from natural language description and a small number of input/output examples. The algorithm combines methods from Deep Learning and Program Synthesis fields by designing rich domain-specific language (DSL) and defining efficient search algorithm guided by a Seq2Tree model on it. To evaluate the quality of the approach we also present a semi-synthetic dataset of descriptions with test examples and corresponding programs. We show that our algorithm significantly outperforms a sequence-to-sequence model with attention baseline.

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