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A General Path-Based Representation for Predicting Program Properties

26 March 2018

Papers citing "A General Path-Based Representation for Predicting Program Properties"

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Title
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation GroundingInternational Conference on Learning Representations (ICLR), 2025 Indraneil Paul Haoyi Yang Goran Glavaš Kristian Kersting Iryna Gurevych AAML SyDa 242 3 0 27 Mar 2025
MIREncoder: Multi-modal IR-based Pretrained Embeddings for Performance Optimizations Akash Dutta Ali Jannesari 211 3 0 02 Jul 2024
Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We? Weisong Sun Chunrong Fang Yun Miao Yudu You Mengzhe Yuan ... Quanjun Zhang An Guo Xiang Chen Yang Liu Zhenyu Chen 263 14 0 01 Dec 2023
Epicure: Distilling Sequence Model Predictions into Patterns Miltiadis Allamanis Earl T. Barr 96 0 0 16 Aug 2023
An Exploratory Literature Study on Sharing and Energy Use of Language Models for Source CodeInternational Symposium on Empirical Software Engineering and Measurement (ESEM), 2023 Max Hort Anastasiia Grishina Leon Moonen 244 8 0 05 Jul 2023
Modelling Concurrency Bugs Using Machine Learning Teodor Rares Begu 106 0 0 08 May 2023
Performance Optimization using Multimodal Modeling and Heterogeneous GNNIEEE International Symposium on High-Performance Parallel Distributed Computing (HPDC), 2023 Akashnil Dutta J. Alcaraz Ali TehraniJamsaz E. César A. Sikora Ali Jannesari 173 12 0 25 Apr 2023
CLAWSAT: Towards Both Robust and Accurate Code ModelsIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022 Jinghan Jia Shashank Srikant Tamara Mitrovska Chuang Gan Shiyu Chang Sijia Liu Una-May O’Reilly AAML 219 13 0 21 Nov 2022
Evaluating the Impact of Source Code Parsers on ML4SE Models I. Utkin Egor Spirin Egor Bogomolov T. Bryksin ELM 110 7 0 17 Jun 2022
Code-DKT: A Code-based Knowledge Tracing Model for Programming TasksEducational Data Mining (EDM), 2022 Yang Shi Min Chi Tiffany Barnes T. Price AI4Ed 139 33 0 07 Jun 2022
Assessing Project-Level Fine-Tuning of ML4SE Models Egor Bogomolov Sergey Zhuravlev Egor Spirin T. Bryksin 111 8 0 07 Jun 2022
AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable Usage Representations Xiaoyu Liu Jinu Jang Neel Sundaresan Miltiadis Allamanis Alexey Svyatkovskiy 247 2 0 23 May 2022
A Survey of Deep Learning Models for Structural Code Understanding Ruoting Wu Yuxin Zhang Qibiao Peng Liang Chen Zibin Zheng 200 8 0 03 May 2022
GypSum: Learning Hybrid Representations for Code SummarizationIEEE International Conference on Program Comprehension (ICPC), 2022 Yu Wang Yu Dong Xuesong Lu Aoying Zhou 130 30 0 26 Apr 2022
Assemble Foundation Models for Automatic Code SummarizationIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022 Jian Gu P. Salza H. Gall 272 40 0 13 Jan 2022
Precise Learning of Source Code Contextual Semantics via Hierarchical Dependence Structure and Graph Attention NetworksJournal of Systems and Software (JSS), 2021 Zhehao Zhao Bo Yang Ge Li Huai Liu Zhi Jin 155 26 0 20 Nov 2021
Code Representation Learning with Prüfer SequencesAAAI Conference on Artificial Intelligence (AAAI), 2021 Tenzin Jinpa Yong Gao 142 0 0 14 Nov 2021
A Survey on Machine Learning Techniques for Source Code Analysis Tushar Sharma M. Kechagia Stefanos Georgiou Rohit Tiwari Indira Vats Hadi Moazen Federica Sarro 226 72 0 18 Oct 2021
XFL: Naming Functions in Binaries with Extreme Multi-label LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2021 James Patrick-Evans Moritz Dannehl Johannes Kinder 367 13 0 28 Jul 2021
Multimodal Representation for Neural Code Search Jian Gu Zimin Chen Monperrus Martin 151 50 0 02 Jul 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking ModelsIEEE International Conference on Software Maintenance and Evolution (ICSME), 2021 Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 104 17 0 26 Jun 2021
On using distributed representations of source code for the detection of C security vulnerabilities D. Coimbra Sofia Reis Rui Abreu Corina Puasuareanu H. Erdogmus 118 19 0 01 Jun 2021
PSIMiner: A Tool for Mining Rich Abstract Syntax Trees from CodeIEEE Working Conference on Mining Software Repositories (MSR), 2021 Egor Spirin Egor Bogomolov V. Kovalenko T. Bryksin 207 16 0 23 Mar 2021
Language-Agnostic Representation Learning of Source Code from Structure and ContextInternational Conference on Learning Representations (ICLR), 2021 Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 189 130 0 21 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as GraphsAAAI Conference on Artificial Intelligence (AAAI), 2021 Yanlin Wang Hui Li 191 93 0 17 Mar 2021
Mining Program Properties From Neural Networks Trained on Source Code Embeddings Martina Saletta C. Ferretti 57 1 0 09 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 199 18 0 24 Feb 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming LanguagesNeural Information Processing Systems (NeurIPS), 2021 Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 184 161 0 15 Feb 2021
Deep Data Flow Analysis Chris Cummins Hugh Leather Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Michael F. P. O'Boyle 125 6 0 21 Nov 2020
Pointing to Subwords for Generating Function Names in Source Code Shogo Fujita Hidetaka Kamigaito Hiroya Takamura Manabu Okumura 180 2 0 09 Nov 2020
Towards Demystifying Dimensions of Source Code Embeddings Md Rafiqul Islam Rabin Arjun Mukherjee O. Gnawali Mohammad Amin Alipour 213 21 0 29 Aug 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data AnalysisEPJ Data Science (EPJ Data Sci.), 2020 Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 124 14 0 28 Aug 2020
Static Neural Compiler Optimization via Deep Reinforcement Learning Rahim Mammadli Ali Jannesari F. Wolf 209 37 0 20 Aug 2020
MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure Fangke Ye Sheng-Tian Zhou Anand Venkat Ryan Marcus Nesime Tatbul ... Tim Mattson Tim Kraska Pradeep Dubey Vivek Sarkar Justin Emile Gottschlich 174 9 0 05 Jun 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 228 7 0 27 May 2020
Embedding Java Classes with code2vec: Improvements from Variable ObfuscationIEEE Working Conference on Mining Software Repositories (MSR), 2020 Rhys Compton E. Frank Panos Patros Abigail M. Y. Koay 113 68 0 06 Apr 2020
Context-Aware Parse Trees Fangke Ye Sheng-Tian Zhou Anand Venkat Ryan Marcus Paul Petersen ... Tim Mattson Tim Kraska Pradeep Dubey Vivek Sarkar Justin Emile Gottschlich 70 2 0 24 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 309 67 0 23 Mar 2020
Exploiting Token and Path-based Representations of Code for Identifying Security-Relevant Commits Achyudh Ram Ji Xin M. Nagappan Yaoliang Yu Rocío Cabrera Lozoya A. Sabetta Jimmy J. Lin 86 4 0 15 Nov 2019
Learning based Methods for Code Runtime Complexity PredictionEuropean Conference on Information Retrieval (ECIR), 2019 Jagriti Sikka K. Satya Yaman Kumar Singla Shagun Uppal R. Shah Roger Zimmermann 139 18 0 04 Nov 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 327 184 0 15 Oct 2019
IdBench: Evaluating Semantic Representations of Identifier Names in Source Code Yaza Wainakh Moiz Rauf Michael Pradel 172 5 0 11 Oct 2019
Structural Language Models of Code Uri Alon Roy Sadaka Omer Levy Eran Yahav 418 19 0 30 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings Venkata Keerthy Rohit Aggarwal Shalini Jain Maunendra Sankar Ramakrishna Upadrasta Desarkar 163 10 0 13 Sep 2019
Learning the Relation between Code Features and Code Transforms with Structured PredictionIEEE Transactions on Software Engineering (TSE), 2019 Zhongxing Yu Matias Martinez Zimin Chen Tegawende F. Bissyande Monperrus Martin 186 14 0 22 Jul 2019
Learning a Static Bug Finder from Data Yu Wang Fengjuan Gao Linzhang Wang Ke Wang 201 9 0 12 Jul 2019
Neural Bug Finding: A Study of Opportunities and Challenges Andrew Habib Michael Pradel 110 18 0 01 Jun 2019
Enabling Open-World Specification Mining via Unsupervised Learning Jordan Henkel Shuvendu K. Lahiri B. Liblit Thomas W. Reps 83 1 0 27 Apr 2019
Modeling Vocabulary for Big Code Machine Learning Hlib Babii Andrea Janes Romain Robbes 108 22 0 03 Apr 2019
Neural Reverse Engineering of Stripped Binaries using Augmented Control Flow Graphs Yaniv David Uri Alon Eran Yahav 321 13 0 25 Feb 2019