A Survey of Machine Learning for Big Code and Naturalness

18 September 2017

Papers citing "A Survey of Machine Learning for Big Code and Naturalness"

50 / 125 papers shown

Title
Featherweight Assisted Vulnerability Discovery D. Binkley Leon Moonen Sibren Isaacman AAML 18 0 0 06 Feb 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software Chuan-Yung Tsai Graham W. Taylor 11 2 0 29 Jan 2022
HEAT: Hyperedge Attention Networks Dobrik Georgiev Marc Brockschmidt Miltiadis Allamanis GNN 32 16 0 28 Jan 2022
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python Laura Wartschinski Yannic Noller Thomas Vogel Timo Kehrer L. Grunske 14 82 0 20 Jan 2022
Borrowing from Similar Code: A Deep Learning NLP-Based Approach for Log Statement Automation Sina Gholamian Paul A. S. Ward 25 3 0 02 Dec 2021
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack Overflow AmirHossein Naghshzan Latifa Guerrouj Olga Baysal 25 15 0 27 Nov 2021
Senatus -- A Fast and Accurate Code-to-Code Recommendation Engine Fran Silavong Sean J. Moran Antonios Georgiadis Rohan Saphal R. Otter 20 9 0 05 Nov 2021
Code2Snapshot: Using Code Snapshots for Learning Representations of Source Code Md Rafiqul Islam Rabin Mohammad Amin Alipour 27 5 0 01 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 25 61 0 18 Oct 2021
Capturing Structural Locality in Non-parametric Language Models Frank F. Xu Junxian He Graham Neubig Vincent J. Hellendoorn 27 14 0 06 Oct 2021
Learning to Superoptimize Real-world Programs Alex Shypula Pengcheng Yin Jeremy Lacomis Claire Le Goues Edward N. Schwartz Graham Neubig NAI 121 10 0 28 Sep 2021
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research Chris Cummins Bram Wasti Jiadong Guo Brandon Cui Jason Ansel ... Jia-Wei Liu O. Teytaud Benoit Steiner Yuandong Tian Hugh Leather 33 69 0 17 Sep 2021
Leveraging Code Clones and Natural Language Processing for Log Statement Prediction Sina Gholamian 16 6 0 08 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 40 19 0 23 Jul 2021
DeepMutants: Training neural bug detectors with contextual mutations Cedric Richter Heike Wehrheim 24 3 0 14 Jul 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 59 0 07 Jun 2021
Directed Acyclic Graph Network for Conversational Emotion Recognition Weizhou Shen Siyue Wu Yunyi Yang Xiaojun Quan 39 240 0 27 May 2021
Self-Supervised Bug Detection and Repair Miltiadis Allamanis Henry Jackson-Flux Marc Brockschmidt 26 103 0 26 May 2021
Project-Level Encoding for Neural Source Code Summarization of Subroutines Aakash Bansal S. Haque Collin McMillan 14 48 0 22 Mar 2021
API2Com: On the Improvement of Automatically Generated Code Comments Using API Documentations Ramin Shahbazi Rishab Sharma Fatemeh H. Fard 27 25 0 19 Mar 2021
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant Sijia Liu Tamara Mitrovska Shiyu Chang Quanfu Fan Gaoyuan Zhang Una-May O’Reilly AAML 30 43 0 18 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 12 85 0 17 Mar 2021
Learning to Make Compiler Optimizations More Effective Rahim Mammadli Marija Selakovic F. Wolf Michael Pradel 21 13 0 24 Feb 2021
Automatic Code Generation using Pre-Trained Language Models Luis Perez Lizi Ottens Sudharshan Viswanathan SyDa ALM 26 24 0 21 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 22 145 0 16 Feb 2021
PalmTree: Learning an Assembly Language Model for Instruction Embedding Xuezixiang Li Qu Yu Heng Yin 24 144 0 21 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 42 2 0 04 Jan 2021
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
Neural Software Analysis Michael Pradel S. Chandra NAI 36 33 0 16 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
Retrieve and Refine: Exemplar-based Neural Comment Generation Bolin Wei Yongming Li Ge Li Xin Xia Zhi Jin 25 39 0 09 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
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Automated Source Code Generation and Auto-completion Using Deep Learning: Comparing and Discussing Current Language-Model-Related Approaches Juan Cruz-Benito Sanjay Vishwakarma Francisco Martín-Fernández Ismael Faro Ibm Quantum 22 31 0 16 Sep 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
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration Augustus Odena Kensen Shi David Bieber Rishabh Singh Charles Sutton Hanjun Dai 38 56 0 28 Jul 2020
Learning to Format Coq Code Using Language Models Pengyu Nie Karl Palmskog Junyi Jessy Li Miloš Gligorić ALM SyDa 11 3 0 18 Jun 2020
Backdoors in Neural Models of Source Code Goutham Ramakrishnan Aws Albarghouthi AAML SILM 28 56 0 11 Jun 2020
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN Shangqing Liu Yu Chen Xiaofei Xie J. Siow Yang Liu 23 164 0 09 Jun 2020
Unleashing the power of disruptive and emerging technologies amid COVID-19: A detailed review Sonali Agarwal Narinder Singh Punn S. K. Sonbhadra M. Tanveer P. Nagabhushan K. K. S. Pandian Praveer Saxena 21 58 0 23 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 70 2,663 0 02 May 2020
Code Completion using Neural Attention and Byte Pair Encoding Youri Arkesteijn Nikhil Saldanha Bastijn Kostense 17 4 0 14 Apr 2020
Typilus: Neural Type Hints Miltiadis Allamanis Earl T. Barr Soline Ducousso Zheng Gao 35 131 0 06 Apr 2020
OptTyper: Probabilistic Type Inference by Optimising Logical and Natural Constraints Irene Vlassi Pandi Earl T. Barr Andrew D. Gordon Charles Sutton 22 29 0 01 Apr 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
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning Wei Ye Rui Xie Jinglei Zhang Tianxiang Hu Xiaoyin Wang Shikun Zhang 31 74 0 24 Feb 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
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