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Description

Program Synthesis differs from other domains in machine learning due to the unforgiving nature of the task of writing programs. Since programs are precise sets of instructions, there is a much higher bar before which the results of a program synthesis system are useful. This thesis explores search based techniques that use auxiliary information in order to best improve the performance of systems that solve the task of program synthesis, in both semantic parsing and induction from examples domains.

Details

Title
Neural-Based Heuristic Search for Program Synthesis
Creator
Gupta, Kavi, Author
Published
2020-06-24
Full Collection Name
Electrical Engineering & Computer Sciences Technical Reports
Type
Text
Format
technical reports
Extent
42 p
Language
eng
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