Learning to Extend Program Graphs to Work-in-Progress Code

28 May 2021

Papers citing "Learning to Extend Program Graphs to Work-in-Progress Code"

45 / 45 papers shown

Title
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing Ahmed Elnaggar Wei Ding Llion Jones Tom Gibbs Tamas B. Fehér Christoph Angerer Silvia Severini Florian Matthes B. Rost 57 72 0 06 Apr 2021
Language-Agnostic Representation Learning of Source Code from Structure and Context Daniel Zügner Tobias Kirschstein Michele Catasta J. Leskovec Stephan Günnemann 58 121 0 21 Mar 2021
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 227 1,445 0 14 Dec 2020
Learning to Execute Programs with Instruction Pointer Attention Graph Neural Networks David Bieber Charles Sutton Hugo Larochelle Daniel Tarlow GNN 87 44 0 23 Oct 2020
Towards Full-line Code Completion with Neural Language Models Wenhan Wang Sijie Shen Ge Li Zhi Jin 48 16 0 18 Sep 2020
GraphCodeBERT: Pre-training Code Representations with Data Flow Daya Guo Shuo Ren Shuai Lu Zhangyin Feng Duyu Tang ... Dawn Drain Neel Sundaresan Jian Yin Daxin Jiang M. Zhou 154 1,146 0 17 Sep 2020
Learning Graph Structure With A Finite-State Automaton Layer Daniel D. Johnson Hugo Larochelle Daniel Tarlow GNN AI4CE 45 17 0 09 Jul 2020
Gradient Estimation with Stochastic Softmax Tricks Max B. Paulus Dami Choi Daniel Tarlow Andreas Krause Chris J. Maddison BDL 78 88 0 15 Jun 2020
Pointer Graph Networks Petar Velivcković Lars Buesing Matthew Overlan Razvan Pascanu Oriol Vinyals Charles Blundell GNN 103 62 0 11 Jun 2020
Graph-based, Self-Supervised Program Repair from Diagnostic Feedback Michihiro Yasunaga Percy Liang LRM 111 175 0 20 May 2020
Fast and Memory-Efficient Neural Code Completion Alexey Svyatkovskiy Sebastian Lee A. Hadjitofi M. Riechert Juliana Franco Miltiadis Allamanis 37 91 0 28 Apr 2020
Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection Joakim Nivre M. Marneffe Filip Ginter Jan Hajivc Christopher D. Manning S. Pyysalo Sebastian Schuster Francis M. Tyers Daniel Zeman VLM 54 516 0 22 Apr 2020
Code Prediction by Feeding Trees to Transformers Seohyun Kim Jinman Zhao Yuchi Tian S. Chandra 91 220 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 158 57 0 23 Mar 2020
CodeBERT: A Pre-Trained Model for Programming and Natural Languages Zhangyin Feng Daya Guo Duyu Tang Nan Duan Xiaocheng Feng ... Linjun Shou Bing Qin Ting Liu Daxin Jiang Ming Zhou 167 2,667 0 19 Feb 2020
On Layer Normalization in the Transformer Architecture Ruibin Xiong Yunchang Yang Di He Kai Zheng Shuxin Zheng Chen Xing Huishuai Zhang Yanyan Lan Liwei Wang Tie-Yan Liu AI4CE 145 996 0 12 Feb 2020
RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers Bailin Wang Richard Shin Xiaodong Liu Oleksandr Polozov Matthew Richardson 92 592 0 10 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 107 63 0 04 Nov 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,451 0 19 Jun 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 77 413 0 28 Mar 2019
Maybe Deep Neural Networks are the Best Choice for Modeling Source Code Rafael-Michael Karampatsis Charles Sutton 111 54 0 13 Mar 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 260 3,745 0 09 Jan 2019
Open Vocabulary Learning on Source Code with a Graph-Structured Cache Milan Cvitkovic Badal Singh Anima Anandkumar 59 50 0 18 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
code2seq: Generating Sequences from Structured Representations of Code Uri Alon Shaked Brody Omer Levy Eran Yahav 91 700 0 04 Aug 2018
StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing Pengcheng Yin Chunting Zhou Junxian He Graham Neubig GNN 72 102 0 20 Jun 2018
Neural Code Comprehension: A Learnable Representation of Code Semantics Tal Ben-Nun Alice Shoshana Jakobovits Torsten Hoefler 50 242 0 19 Jun 2018
Generative Code Modeling with Graphs Marc Brockschmidt Miltiadis Allamanis Alexander L. Gaunt Oleksandr Polozov 79 178 0 22 May 2018
code2vec: Learning Distributed Representations of Code Uri Alon Meital Zilberstein Omer Levy Eran Yahav 53 1,181 0 26 Mar 2018
Self-Attention with Relative Position Representations Peter Shaw Jakob Uszkoreit Ashish Vaswani 182 2,299 0 06 Mar 2018
Tree-to-tree Neural Networks for Program Translation Xinyun Chen Chang-rui Liu Basel Alomair 74 278 0 11 Feb 2018
Learning to Represent Programs with Graphs Miltiadis Allamanis Marc Brockschmidt Mahmoud Khademi GNN NAI 123 804 0 01 Nov 2017
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 115 860 0 18 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 789 132,454 0 12 Jun 2017
Abstract Syntax Networks for Code Generation and Semantic Parsing Maxim Rabinovich Mitchell Stern Dan Klein 103 362 0 25 Apr 2017
Neuro-Symbolic Program Synthesis Emilio Parisotto Abdel-rahman Mohamed Rishabh Singh Lihong Li Dengyong Zhou Pushmeet Kohli NAI 111 322 0 06 Nov 2016
Categorical Reparameterization with Gumbel-Softmax Eric Jang S. Gu Ben Poole BDL 363 5,388 0 03 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 200 2,537 0 02 Nov 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 432 10,531 0 21 Jul 2016
Neural Machine Translation of Rare Words with Subword Units Rico Sennrich Barry Haddow Alexandra Birch 235 7,760 0 31 Aug 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 413 7,969 0 17 Aug 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,396 0 03 Jun 2014
Structured Generative Models of Natural Source Code Chris J. Maddison Daniel Tarlow 92 171 0 02 Jan 2014
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 396 3,157 0 15 Aug 2013