Tue 25 Jun 2019 14:20 - 14:40 at 224AB - Reasoning and Optimizing ML Models Chair(s): Martin Maas

Most traditional software systems are not built with the artificial intelligence support (AI) in mind. Among them, some may require human interventions to operate, e.g., the manual specification of the parameters in the data processing programs, or otherwise, would behave poorly. We propose a novel framework called Autonomizer to autonomize these systems by installing the AI into the traditional programs. Autonomizeris general so it can be applied to many real-world applications. We provide the primitives and the run-time support, where the primitives abstract common tasks of autonomization and the runtime support realizes them transparently. With the support of Autonomizer, the users can gain the AI support with little engineering efforts. Like many other AI applications, the challenge lies in the feature selection, which we address by proposing multiple automated strategies based on the program analysis. Our experiment results on nine real-world applications show that the autonomization only requires adding a few lines to the source code.Besides, for the data-processing programs, Autonomizer improves the output quality by 161% on average over the default settings. For the interactive programs such as game/driving,Autonomizer achieves higher success rate with lower training time than existing autonomized programs.

Tue 25 Jun

pldi-2019-papers
14:00 - 15:30: PLDI Research Papers - Reasoning and Optimizing ML Models at 224AB
Chair(s): Martin MaasGoogle
pldi-2019-papers14:00 - 14:20
Talk
He ZhuRutgers University, USA, Zikang XiongPurdue University, Stephen Magill, Suresh JagannathanPurdue University
Media Attached
pldi-2019-papers14:20 - 14:40
Talk
Wen-Chuan LeePurdue University, Peng LiuPurdue University, Yingqi LiuPurdue University, USA, Shiqing MaPurdue University, USA, Xiangyu ZhangPurdue University
pldi-2019-papers14:40 - 15:00
Talk
Hui GuanNorth Carolina State University, Xipeng ShenNorth Carolina State University, Seung-Hwan LimOak Ridge National Laboratory, USA
Media Attached File Attached
pldi-2019-papers15:00 - 15:20
Talk
Greg AndersonUniversity of Texas at Austin, USA, Shankara PailoorUniversity of Texas at Austin, USA, Isil DilligUT Austin, Swarat ChaudhuriRice University
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