Suggesting accurate method and class names
Miltiadis Allamanis, Earl T Barr, Christian Bird, and Charles Sutton. 2015a · 2015
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba. 2015 · 2015
Cited alongside, same era.
Effective approaches to attention-based neural machine translation
Thang Luong, Hieu Pham, and D. Christopher Manning. 2015 · 2015
Cited alongside, same era.
Neural programmer: Inducing latent programs with gradient descent
Original
Arvind Neelakantan, Quoc V Le, and Ilya Sutskever. 2015 · 2015
Cited alongside, same era.
Learning to generate pseudo-code from source code using statistical machine translation (t)
Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, Sakriani Sakti, Tomoki Toda, and Satoshi Nakamura. 2015 · 2015
Cited alongside, same era.
Language to code: Learning semantic parsers for if-this-then-that recipes
Chris Quirk, Raymond Mooney, and Michel Galley. 2015 · 2015
Cited alongside, same era.
Deepcoder: Learning to write programs
Original
Matej Balog, Alexander L Gaunt, Marc Brockschmidt, Sebastian Nowozin, and Daniel Tarlow. 2016 · 2016
Cited alongside, same era.
A thorough examination of the CNN/Daily Mail reading comprehension task
Danqi Chen, Jason Bolton, and Christopher D. Manning. 2016 · 2016
Cited alongside, same era.
Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
Cited alongside, same era.
Bimodal modelling of source code and natural language
Miltiadis Allamanis, Daniel Tarlow, Andrew Gordon, and Yi Wei. 2015b
Cited in the paper.
Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li. 2016a
Cited in the paper.