code2vec: Learning Distributed Representations of Code

26 March 2018

Papers citing "code2vec: Learning Distributed Representations of Code"

42 / 142 papers shown

Title
Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity Kexin Pei Zhou Xuan Junfeng Yang Suman Jana Baishakhi Ray 27 89 0 16 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees Nghi D. Q. Bui Yijun Yu Lingxiao Jiang SSL 44 104 0 13 Dec 2020
Learning to Represent Programs with Heterogeneous Graphs Kechi Zhang Wenhan Wang Huangzhao Zhang Ge Li Zhi Jin GNN 21 63 0 08 Dec 2020
ReAssert: Deep Learning for Assert Generation Robert White J. Krinke 34 14 0 19 Nov 2020
Neural Software Analysis Michael Pradel S. Chandra NAI 34 33 0 16 Nov 2020
Pointing to Subwords for Generating Function Names in Source Code Shogo Fujita Hidetaka Kamigaito Hiroya Takamura Manabu Okumura 19 2 0 09 Nov 2020
Deep Graph Matching and Searching for Semantic Code Retrieval Xiang Ling Lingfei Wu Sai-gang Wang Gaoning Pan Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji GNN 39 91 0 24 Oct 2020
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code Nadezhda Chirkova Sergey Troshin 56 12 0 23 Oct 2020
CodeBLEU: a Method for Automatic Evaluation of Code Synthesis Shuo Ren Daya Guo Shuai Lu Long Zhou Shujie Liu Duyu Tang Neel Sundaresan M. Zhou Ambrosio Blanco Shuai Ma ELM 40 505 0 22 Sep 2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis Ashley Ge Zhang Michael Merrill Yang Liu Jeffrey Heer Tim Althoff ViT 28 13 0 28 Aug 2020
Static Neural Compiler Optimization via Deep Reinforcement Learning Rahim Mammadli Ali Jannesari F. Wolf 33 30 0 20 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Backdoors in Neural Models of Source Code Goutham Ramakrishnan Aws Albarghouthi AAML SILM 28 56 0 11 Jun 2020
A Structural Model for Contextual Code Changes Shaked Brody Uri Alon Eran Yahav KELM 27 7 0 27 May 2020
Learning Semantic Program Embeddings with Graph Interval Neural Network Yu Wang Fengjuan Gao Linzhang Wang Ke Wang GNN 19 63 0 18 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 61 2,663 0 02 May 2020
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation Rhys Compton E. Frank Panos Patros Abigail M. Y. Koay 24 62 0 06 Apr 2020
Typilus: Neural Type Hints Miltiadis Allamanis Earl T. Barr Soline Ducousso Zheng Gao 35 131 0 06 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 27 263 0 31 Mar 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 48 217 0 30 Mar 2020
ProGraML: Graph-based Deep Learning for Program Optimization and Analysis Chris Cummins Zacharias V. Fisches Tal Ben-Nun Torsten Hoefler Hugh Leather 88 56 0 23 Mar 2020
A Toolkit for Generating Code Knowledge Graphs Ibrahim Abdelaziz Julian T Dolby Jamie McCusker Kavitha Srinivas 21 25 0 21 Feb 2020
Equivalence of Dataflow Graphs via Rewrite Rules Using a Graph-to-Sequence Neural Model Steve Kommrusch Théo Barollet L. Pouchet 30 6 0 17 Feb 2020
Adversarial Robustness for Code Pavol Bielik Martin Vechev AAML 22 89 0 11 Feb 2020
Semantic Robustness of Models of Source Code Goutham Ramakrishnan Jordan Henkel Zi Wang Aws Albarghouthi S. Jha Thomas W. Reps SILM AAML 47 97 0 07 Feb 2020
Comparison of Syntactic and Semantic Representations of Programs in Neural Embeddings Austin P. Wright H. Wiklicky GNN NAI 21 0 0 24 Jan 2020
Learning to Encode and Classify Test Executions Foivos Tsimpourlas A. Rajan Miltiadis Allamanis 29 12 0 08 Jan 2020
Commit2Vec: Learning Distributed Representations of Code Changes Rocío Cabrera Lozoya Arnaud Baumann A. Sabetta M. Bezzi SSL 17 45 0 18 Nov 2019
Learning based Methods for Code Runtime Complexity Prediction Jagriti Sikka K. Satya Yaman Kumar Singla Shagun Uppal R. Shah Roger Zimmermann 25 14 0 04 Nov 2019
TreeCaps: Tree-Structured Capsule Networks for Program Source Code Processing Vinoj Jayasundara Nghi D. Q. Bui Lingxiao Jiang David Lo 28 16 0 27 Oct 2019
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning Ameer Haj-Ali Nesreen Ahmed Theodore L. Willke Sophia Shao Krste Asanović Ion Stoica 27 101 0 20 Sep 2019
IR2Vec: LLVM IR based Scalable Program Embeddings Venkata Keerthy Rohit Aggarwal Shalini Jain Maunendra Sankar Ramakrishna Upadrasta Desarkar 29 10 0 13 Sep 2019
Structure-Invariant Testing for Machine Translation Pinjia He Clara Meister Z. Su 27 104 0 19 Jul 2019
Mercem: Method Name Recommendation Based on Call Graph Embedding Hiroshi Yonai Yasuhiro Hayase H. Kitagawa 20 15 0 12 Jul 2019
Learning Blended, Precise Semantic Program Embeddings Ke Wang Z. Su NAI 30 25 0 03 Jul 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 741 0 19 Jun 2019
When Deep Learning Met Code Search J. Cambronero Hongyu Li Seohyun Kim Koushik Sen S. Chandra CLIP 35 218 0 09 May 2019
A Literature Study of Embeddings on Source Code Zimin Chen Monperrus Martin 49 82 0 05 Apr 2019
Import2vec - Learning Embeddings for Software Libraries B. Theeten Frederik Vandeputte Tom Van Cutsem SSL 19 34 0 27 Mar 2019
CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling Yasir Hussain Zhiqiu Huang Yu Zhou Senzhang Wang 15 32 0 03 Mar 2019
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 18 239 0 19 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015