Fast and Memory-Efficient Neural Code Completion

Fast and Memory-Efficient Neural Code Completion

28 April 2020

Alexey Svyatkovskiy

Miltiadis Allamanis

Papers citing "Fast and Memory-Efficient Neural Code Completion"

17 / 17 papers shown

Title
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 47 21 0 30 Dec 2023
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Software Engineering Tasks Wentao Zou Qi Li Jidong Ge Chuanyi Li Xiaoyu Shen LiGuo Huang Bin Luo 36 5 0 25 Dec 2023
A Lightweight Framework for High-Quality Code Generation Mohammed Latif Siddiq B.K. Casey Joanna C. S. Santos 46 17 0 17 Jul 2023
RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation Fengji Zhang B. Chen Yue Zhang Jacky Keung Jin Liu Daoguang Zan Yi Mao Jian-Guang Lou Weizhu Chen 32 222 0 22 Mar 2023
CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning Hung Le Yue Wang Akhilesh Deepak Gotmare Silvio Savarese Guosheng Lin SyDa ALM 135 243 0 05 Jul 2022
CoCoSoDa: Effective Contrastive Learning for Code Search Ensheng Shi Yanlin Wang Wenchao Gu Lun Du Hongyu Zhang Shi Han Dongmei Zhang Hongbin Sun 43 33 0 07 Apr 2022
CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences Maliheh Izadi Roberta Gismondi Georgios Gousios 25 100 0 14 Feb 2022
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
Leveraging Automated Unit Tests for Unsupervised Code Translation Baptiste Roziere Jie M. Zhang François Charton Mark Harman Gabriel Synnaeve Guillaume Lample 35 112 0 13 Oct 2021
Toward Less Hidden Cost of Code Completion with Acceptance and Ranking Models Jingxuan Li Rui Huang Wei Li Kai-Lang Yao Weiguo Tan 32 14 0 26 Jun 2021
Recommending Metamodel Concepts during Modeling Activities with Pre-Trained Language Models Martin Weyssow H. Sahraoui Eugene Syriani 18 50 0 04 Apr 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 10 85 0 17 Mar 2021
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages Baptiste Roziere Marie-Anne Lachaux Marc Szafraniec Guillaume Lample AI4CE 52 138 0 15 Feb 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 44 79 0 17 Sep 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 48 217 0 30 Mar 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 312 13,377 0 25 Aug 2014