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PLDI 2021
Sun 20 - Sat 26 June 2021 PLDI
Wed 23 Jun 2021 13:30 - 13:35 at PLDI-A - Talks 2A: Machine Learning
Thu 24 Jun 2021 01:30 - 01:35 at PLDI-A - Talks 2A: Machine Learning

We introduce a new approach for finding and fixing naming issues in source code. The method is based on a careful combination of unsupervised and supervised procedures: (i) unsupervised mining of patterns from Big Code that express common naming idioms. Program fragments violating such idioms indicates likely naming issues, and (ii) supervised learning of a classifier on a small labeled dataset which filters potential false positives from the violations.

We implemented our method in a system called Namer and evaluated it on a large number of Python and Java programs. We demonstrate that Namer is effective in finding naming mistakes in real world repositories with high precision (~70%). Perhaps surprisingly, we also show that existing deep learning methods are not practically effective and achieve low precision in finding naming issues (up to ~16%).

Wed 23 Jun

Displayed time zone: Eastern Time (US & Canada) change

13:30 - 14:05
Talks 2A: Machine LearningPLDI at PLDI-A +12h
13:30
5m
Talk
Learning to Find Naming Issues with Big Code and Small Supervision
PLDI
Jingxuan He ETH Zurich, Cheng-Chun Lee EPFL, Veselin Raychev DeepCode, Martin Vechev ETH Zurich
DOI
13:35
5m
Talk
Fast and Precise Certification of Transformers
PLDI
Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich
DOI
13:40
5m
Talk
Web Question Answering with Neurosymbolic Program Synthesis
PLDI
Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Isil Dillig University of Texas at Austin
DOI
13:45
5m
Talk
Robustness Certification with Generative Models
PLDI
Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich
Link to publication DOI
13:50
5m
Talk
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
PLDI
Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary
DOI
13:55
5m
Talk
Vectorized Secure Evaluation of Decision Forests
PLDI
Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University
DOI Pre-print
14:00
5m
Talk
AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations
PLDI
Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies
DOI

Thu 24 Jun

Displayed time zone: Eastern Time (US & Canada) change

01:30 - 02:05
Talks 2A: Machine LearningPLDI at PLDI-A
01:30
5m
Talk
Learning to Find Naming Issues with Big Code and Small Supervision
PLDI
Jingxuan He ETH Zurich, Cheng-Chun Lee EPFL, Veselin Raychev DeepCode, Martin Vechev ETH Zurich
DOI
01:35
5m
Talk
Fast and Precise Certification of Transformers
PLDI
Gregory Bonaert ETH Zurich, Dimitar I. Dimitrov ETH Zurich, Maximilian Baader ETH Zurich, Martin Vechev ETH Zurich
DOI
01:40
5m
Talk
Web Question Answering with Neurosymbolic Program Synthesis
PLDI
Qiaochu Chen University of Texas at Austin, USA, Aaron Lamoreaux University of Texas at Austin, Xinyu Wang University of Michigan, Greg Durrett University of Texas at Austin, USA, Osbert Bastani University of Pennsylvania, Isil Dillig University of Texas at Austin
DOI
01:45
5m
Talk
Robustness Certification with Generative Models
PLDI
Matthew Mirman ETH Zurich, Alexander Hägele ETH Zurich, Timon Gehr ETH Zurich, Pavol Bielik ETH Zurich, Martin Vechev ETH Zurich
Link to publication DOI
01:50
5m
Talk
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion
PLDI
Wei Niu College of William & Mary, Jiexiong Guan College of William & Mary, Yanzhi Wang Northeastern University, Gagan Agrawal Augusta University, Bin Ren College of William & Mary
DOI
01:55
5m
Talk
Vectorized Secure Evaluation of Decision Forests
PLDI
Raghav Malik Purdue University, Vidush Singhal Purdue University, Benjamin Gottfried Purdue University, Milind Kulkarni Purdue University
DOI Pre-print
02:00
5m
Talk
AKG: Automatic Kernel Generation for Neural Processing Units using Polyhedral Transformations
PLDI
Jie Zhao State Key Laboratory of Mathematical Engineering and Advanced Computing, Bojie Li Huawei Technologies, Wang Nie Huawei Technologies, Zhen Geng Huawei Technologies, Renwei Zhang Huawei Technologies, Xiong Gao Huawei Technologies, Bin Cheng Huawei Technologies, Chen Wu Huawei, Yun Cheng Huawei Technologies, Zheng Li Huawei Technologies, Peng Di Huawei Technologies, Kun Zhang Huawei Technologies, Xuefeng Jin Huawei Technologies
DOI