Invention Grant
- Patent Title: Neural network for program synthesis
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Application No.: US15470784Application Date: 2017-03-27
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Publication No.: US10795645B2Publication Date: 2020-10-06
- Inventor: Abdelrahman S. A. Mohamed , Rishabh Singh , Lihong Li , Dengyong Zhou , Pushmeet Kohli , Emilio Parisotto
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06F8/30
- IPC: G06F8/30 ; G06N3/04 ; G06N3/10 ; G06N3/08

Abstract:
Described are systems, methods, and computer-readable media for program generation in a domain-specific language based on input-output examples. In accordance with various embodiments, a neural-network-based program generation model conditioned on an encoded set of input-output examples is used to generate a program tree by iteratively expanding a partial program tree, beginning with a root node and ending when all leaf nodes are terminal.
Public/Granted literature
- US20180275967A1 NEURAL NETWORK FOR PROGRAM SYNTHESIS Public/Granted day:2018-09-27
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