Fetching the paper…
Reading the bibliography…
Generative models for source code are an interesting structured prediction problem, requiring to reason about both hard syntactic and semantic constraints as well as about natural, likely programs.
Semantics of context-free languages
Donald E. Knuth · 1967
Earlier work this paper cites.
Program synthesis by sketching
Armando Solar-Lezama · 2008
Earlier work this paper cites.
On the naturalness of software
Abram Hindle, Earl T Barr, Zhendong Su, Mark Gabel, and Premkumar Devanbu · 2012
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
Earlier work this paper cites.
On the properties of neural machine translation: Encoder–decoder approaches
Kyunghyun Cho, Bart van Merriënboer, Dzmitry Bahdanau, and Yoshua Bengio · 2014
Earlier work this paper cites.
Structured generative models of natural source code
Chris J Maddison and Daniel Tarlow · 2014
Earlier work this paper cites.
Code completion with statistical language models
Veselin Raychev, Martin Vechev, and Eran Yahav · 2014
Earlier work this paper cites.
Synthesizing data structure transformations from input-output examples
John K. Feser, Swarat Chaudhuri, and Isil Dillig · 2015
Earlier work this paper cites.
Effective approaches to attention-based neural machine translation
Minh-Thang Luong, Hieu Pham, and Christopher D Manning · 2015
Earlier work this paper cites.
FlashMeta: a framework for inductive program synthesis
Oleksandr Polozov and Sumit Gulwani · 2015
Cited alongside, same era.
Predicting program properties from Big Code
Veselin Raychev, Martin Vechev, and Andreas Krause · 2015
Cited alongside, same era.
Pointer networks
Oriol Vinyals, Meire Fortunato, and Navdeep Jaitly · 2015
Cited alongside, same era.
Statistical deobfuscation of android applications
Benjamin Bichsel, Veselin Raychev, Petar Tsankov, and Martin Vechev · 2016
Cited alongside, same era.
PHOG: probabilistic model for code
Pavol Bielik, Veselin Raychev, and Martin Vechev · 2016
Cited alongside, same era.
Gated graph sequence neural networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel · 2016
Cited alongside, same era.
Are deep neural networks the best choice for modeling source code?
Vincent J. Hellendoorn and Premkumar Devanbu · 2017
Later among the works it cites.
DéjàVu: a map of code duplicates on GitHub
Cristina V Lopes, Petr Maj, Pedro Martins, Vaibhav Saini, Di Yang, Jakub Zitny, Hitesh Sajnani, and Jan Vitek · 2017
Later among the works it cites.
Neuro-symbolic program synthesis
Emilio Parisotto, Abdel-rahman Mohamed, Rishabh Singh, Lihong Li, Dengyong Zhou, and Pushmeet Kohli · 2017
Later among the works it cites.
Abstract syntax networks for code generation and semantic parsing
Maxim Rabinovich, Mitchell Stern, and Dan Klein · 2017
Later among the works it cites.
A syntactic neural model for general-purpose code generation
Pengcheng Yin and Graham Neubig · 2017
Later among the works it cites.
Program synthesis using conflict-driven learning
Yu Feng, Ruben Martins, Osbert Bastani, and Isil Dillig · 2018
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Matthew Amodio, Swarat Chaudhuri, and Thomas W. Reps · 2017
Cited alongside, same era.
Neural message passing for quantum chemistry
Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, and George E. Dahl · 2017
Cited alongside, same era.
A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton
Cited in the paper.
Learning to represent programs with graphs
Miltiadis Allamanis, Marc Brockschmidt, and Mahmoud Khademi
Cited in the paper.
Closest in time.
Learning deep generative models of graphs
Yujia Li, Oriol Vinyals, Chris Dyer, Razvan Pascanu, and Peter Battaglia · 2018
Closest in time.
Designing random graph models using variational autoencoders with applications to chemical design
Bidisha Samanta, Abir De, Niloy Ganguly, and Manuel Gomez-Rodriguez · 2018
Closest in time.