Web: http://arxiv.org/abs/2106.11053

May 5, 2022, 1:11 a.m. | Catherine Wong, Kevin Ellis, Joshua B. Tenenbaum, Jacob Andreas

cs.CL updates on arXiv.org arxiv.org

Inductive program synthesis, or inferring programs from examples of desired
behavior, offers a general paradigm for building interpretable, robust, and
generalizable machine learning systems. Effective program synthesis depends on
two key ingredients: a strong library of functions from which to build
programs, and an efficient search strategy for finding programs that solve a
given task. We introduce LAPS (Language for Abstraction and Program Search), a
technique for using natural language annotations to guide joint learning of
libraries and neurally-guided search …

arxiv heuristics language search

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