Learning and Evaluating Contextual Embedding of Source Code
暂无分享,去创建一个
Aditya Kanade | Petros Maniatis | Gogul Balakrishnan | Kensen Shi | Petros Maniatis | Aditya Kanade | Kensen Shi | Gogul Balakrishnan
[1] Xiaodong Gu,et al. Deep API learning , 2016, SIGSOFT FSE.
[2] Xiaocheng Feng,et al. CodeBERT: A Pre-Trained Model for Programming and Natural Languages , 2020, EMNLP.
[3] Yoshua Bengio,et al. Understanding the difficulty of training deep feedforward neural networks , 2010, AISTATS.
[4] Samy Bengio,et al. Tensor2Tensor for Neural Machine Translation , 2018, AMTA.
[5] Richard S. Zemel,et al. Gated Graph Sequence Neural Networks , 2015, ICLR.
[6] 知秀 柴田. 5分で分かる!? 有名論文ナナメ読み:Jacob Devlin et al. : BERT : Pre-training of Deep Bidirectional Transformers for Language Understanding , 2020 .
[7] Hailong Sun,et al. A Novel Neural Source Code Representation Based on Abstract Syntax Tree , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE).
[8] Premkumar T. Devanbu,et al. On the naturalness of software , 2016, Commun. ACM.
[9] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[10] Omer Levy,et al. RoBERTa: A Robustly Optimized BERT Pretraining Approach , 2019, ArXiv.
[11] Aditya Kanade,et al. Neural Program Repair by Jointly Learning to Localize and Repair , 2019, ICLR.
[12] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[13] Charles A. Sutton,et al. Suggesting accurate method and class names , 2015, ESEC/SIGSOFT FSE.
[14] Luke S. Zettlemoyer,et al. Deep Contextualized Word Representations , 2018, NAACL.
[15] Richard Socher,et al. Learned in Translation: Contextualized Word Vectors , 2017, NIPS.
[16] Rico Sennrich,et al. A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation , 2017, IJCNLP.
[17] Martin T. Vechev,et al. Probabilistic model for code with decision trees , 2016, OOPSLA.
[18] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[19] Martin Monperrus,et al. A Literature Study of Embeddings on Source Code , 2019, ArXiv.
[20] Uri Alon,et al. code2vec: learning distributed representations of code , 2018, Proc. ACM Program. Lang..
[21] Koushik Sen,et al. DeepBugs: a learning approach to name-based bug detection , 2018, Proc. ACM Program. Lang..
[22] Tao Wang,et al. Convolutional Neural Networks over Tree Structures for Programming Language Processing , 2014, AAAI.
[23] Marc Brockschmidt,et al. Learning to Represent Programs with Graphs , 2017, ICLR.
[24] Ashish Vaswani,et al. Self-Attention with Relative Position Representations , 2018, NAACL.
[25] Alec Radford,et al. Improving Language Understanding by Generative Pre-Training , 2018 .
[26] Ilya Sutskever,et al. Language Models are Unsupervised Multitask Learners , 2019 .
[27] Rishabh Singh,et al. Global Relational Models of Source Code , 2020, ICLR.
[28] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[29] Miltiadis Allamanis,et al. The adverse effects of code duplication in machine learning models of code , 2018, Onward!.
[30] Tomoki Toda,et al. Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T) , 2015, 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE).
[31] Eran Yahav,et al. Code completion with statistical language models , 2014, PLDI.
[32] Annie Louis,et al. Deep Learning to Detect Redundant Method Comments , 2018, ArXiv.
[33] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[34] Alvin Cheung,et al. Mapping Language to Code in Programmatic Context , 2018, EMNLP.
[35] Armando Solar-Lezama,et al. sk_p: a neural program corrector for MOOCs , 2016, SPLASH.
[36] Yiming Yang,et al. XLNet: Generalized Autoregressive Pretraining for Language Understanding , 2019, NeurIPS.
[37] Rahul Gupta,et al. DeepFix: Fixing Common C Language Errors by Deep Learning , 2017, AAAI.
[38] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[39] Koushik Sen,et al. When deep learning met code search , 2019, ESEC/SIGSOFT FSE.
[40] Robert C. Martin. Clean Code - a Handbook of Agile Software Craftsmanship , 2008 .
[41] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[42] Petr Sojka,et al. Software Framework for Topic Modelling with Large Corpora , 2010 .
[43] Martin Wattenberg,et al. Visualizing and Measuring the Geometry of BERT , 2019, NeurIPS.
[44] Mike Schuster,et al. Japanese and Korean voice search , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[45] Jeffrey Dean,et al. Efficient Estimation of Word Representations in Vector Space , 2013, ICLR.