Deep Program Understanding

Teaching machines to understand complex algorithms

出版物

表示方法:

- Learning to Complete Code with Sketches
  
  Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- HEAT: Hyperedge Attention Networks
  
  Dobrik Georgiev, Marc Brockschmidt, Miltos Allamanis
  
  January 2022
  
  Publication
- Self-Supervised Bug Detection and Repair
  
  Miltos Allamanis, Henry Jackson-Flux, Marc Brockschmidt
  
  NeurIPS 2021 | May 2021
  
  Publication Publication Publication
- Copy that! Editing Sequences by Copying Spans
  
  Sheena Panthaplackel, Miltos Allamanis, Marc Brockschmidt
  
  AAAI | January 2021
  
  PDF Publication Publication Publication Publication
- Typilus: Neural Type Hints
  
  Miltos Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
  
  2020 Programming Language Design and Implementation | June 2020
  
  DOI Publication Publication Publication Publication
- Fast and Memory-Efficient Neural Code Completion
  
  Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltos Allamanis
  
  Mining Software Repositories | April 2020
  
  Publication Publication
- DIRE: a neural approach to decompiled identifier naming
  
  Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltos Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
  
  2019 Automated Software Engineering | November 2019
  
  DOI Publication Publication Publication Publication
- The adverse effects of code duplication in machine learning models of code
  
  Miltos Allamanis
  
  2019 SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software | October 2019
  
  DOI Publication Publication Publication Publication Publication
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.
  
  Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltos Allamanis, Marc Brockschmidt
  
  MSR-TR-2019-45 | September 2019
  
  Microsoft による投稿
  
  Publication Publication Publication Publication
- Generative Code Modeling with Graphs
  
  Marc Brockschmidt, Miltos Allamanis, Alex Gaunt, Alex Polozov
  
  7th International Conference on Learning Representations | May 2019
  
  Publication
- Learning to Represent Edits
  
  Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  ICLR 2019 | May 2019
  
  arXiv:1810.13337 [cs.LG]
  
  Publication
- Constrained Graph Variational Autoencoders for Molecule Design
  
  Qi Liu, Miltos Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  NIPS 2018 | December 2018
  
  Publication プロジェクト
- Deep learning type inference
  
  Vincent J. Hellendoorn, Christian Bird, Earl T. Barr, Miltos Allamanis
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- RefiNym: using names to refine types
  
  Santanu Kumar Dash, Miltos Allamanis, Earl T. Barr
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- Structured Neural Summarization
  
  Patrick Fernandes, Miltos Allamanis, Marc Brockschmidt
  
  2018 International Conference on Learning Representations | September 2018
  
  PDF Publication Publication Publication
- Robust Text-to-SQL Generation with Execution-Guided Decoding
  
  Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh
  
  September 2018
  
  Publication
- A Survey of Machine Learning for Big Code and Naturalness
  
  Miltos Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton
  
  ACM Computing Surveys | July 2018, 巻51(4): pp. 81
  
  PDF Publication DOI
- Semantics-aware Program Sampling
  
  Pratiksha Thaker, Daniel Tarlow, Marc Brockschmidt, Alexander Gaunt
  
  MSR-TR-2017-47 | November 2017
  
  公開日
- Graph Partition Neural Networks for Semi-Supervised Classification
  
  Renjie Liao, Marc Brockschmidt (mabrocks), Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel
  
  MSR-TR-2017-46 | November 2017
  
  Microsoft による投稿
  
  Publication
- Learning to Represent Programs with Graphs
  
  Miltos Allamanis, Marc Brockschmidt, Mahmoud Khademi
  
  International Conference on Learning Representations 2018 | November 2017
  
  Publication ダウンロード
- Pointing Out SQL Queries From Text
  
  Chenglong Wang, Marc Brockschmidt, Rishabh Singh
  
  MSR-TR-2017-45 | November 2017
  
  公開日 Github
- Differentiable Programs with Neural Libraries
  
  Alexander Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
  
  Proceedings of ICML’17 | July 2017
  
  公開日
- Learning Shape Analysis
  
  Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow
  
  Proceedings of SAS’17 | July 2017
  
  公開日
- SmartPaste: Learning to Adapt Source Code
  
  Miltos Allamanis, Marc Brockschmidt
  
  May 2017
  
  Publication
- Neural Program Lattices
  
  Chengtao Li, Daniel Tarlow, Alexander Gaunt, Marc Brockschmidt, Nate Kushman
  
  Proceedings of ICLR’17 | March 2017
  
  公開日
- DeepCoder: Learning to Write Programs
  
  Matej Balog, Alexander Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
  
  Proceedings of ICLR’17 | March 2017
  
  Publication Publication
- Differentiable Functional Program Interpreters
  
  John K. Feser, Marc Brockschmidt, Alexander Gaunt, Daniel Tarlow
  
  March 2017
  
  公開日
- Mining Semantic Loop Idioms from Big Code
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar Devanbu, Mark Marron, Charles Sutton
  
  MSR-TR-2016-1116 | November 2016
  
  公開日
- TerpreT: A Probabilistic Programming Language for Program Induction
  
  Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Daniel Tarlow
  
  August 2016
  
  Best paper at NIPS Workshop on Neural Abstract Machines and Program Induction (NAMPI 2016)
  
  Publication Publication
- Gated Graph Sequence Neural Networks
  
  Yujia Li, Richard Zemel, Marc Brockschmidt, Daniel Tarlow
  
  Proceedings of ICLR’16 | April 2016
  
  公開日公開日動画
- SWIM: Synthesizing What I Mean
  
  Mukund Raghothaman, Yi Wei, Youssef Hamadi
  
  ICSE 2016 | February 2016
  
  DOI Publication
- A Convolutional Attention Network for Extreme Summarization of Source Code
  
  Miltos Allamanis, Hao Peng, Charles Sutton
  
  2016 International Conference on Machine Learning | February 2016
  
  PDF Publication
- Suggesting accurate method and class names
  
  Miltos Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  2015 Foundations of Software Engineering | August 2015
  
  DOI Publication
- Bimodal Modelling of Source Code and Natural Language
  
  Miltos Allamanis, Daniel Tarlow, Andy Gordon, Yi Wei
  
  International Conference on Machine Learning | August 2015
  
  Publication
- Learning to Decipher the Heap for Program Verification
  
  Marc Brockschmidt, Yuxin Chen, Byron Cook, Pushmeet Kohli, Daniel Tarlow
  
  ICML 2015 Proceedings of the Constructive Machine Learning | July 2015
  
  公開日
- Learning Natural Coding Conventions
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  Proceedings of the ACM SigSoft Symposium on Foundations of Software Engineering | November 2014
  
  公開日
- Structured Generative Models of Natural Source Code
  
  Chris J. Maddison, Daniel Tarlow
  
  The 31st International Conference on Machine Learning (ICML) | June 2014
  
  PDF Publication

- Learning to Complete Code with Sketches
  
  Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- HEAT: Hyperedge Attention Networks
  
  Dobrik Georgiev, Marc Brockschmidt, Miltos Allamanis
  
  January 2022
  
  Publication
- Self-Supervised Bug Detection and Repair
  
  Miltos Allamanis, Henry Jackson-Flux, Marc Brockschmidt
  
  NeurIPS 2021 | May 2021
  
  Publication Publication Publication
- Copy that! Editing Sequences by Copying Spans
  
  Sheena Panthaplackel, Miltos Allamanis, Marc Brockschmidt
  
  AAAI | January 2021
  
  PDF Publication Publication Publication Publication
- Typilus: Neural Type Hints
  
  Miltos Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
  
  2020 Programming Language Design and Implementation | June 2020
  
  DOI Publication Publication Publication Publication
- Fast and Memory-Efficient Neural Code Completion
  
  Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltos Allamanis
  
  Mining Software Repositories | April 2020
  
  Publication Publication
- The adverse effects of code duplication in machine learning models of code
  
  Miltos Allamanis
  
  2019 SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software | October 2019
  
  DOI Publication Publication Publication Publication Publication
- Generative Code Modeling with Graphs
  
  Marc Brockschmidt, Miltos Allamanis, Alex Gaunt, Alex Polozov
  
  7th International Conference on Learning Representations | May 2019
  
  Publication
- Learning to Represent Edits
  
  Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  ICLR 2019 | May 2019
  
  arXiv:1810.13337 [cs.LG]
  
  Publication
- Constrained Graph Variational Autoencoders for Molecule Design
  
  Qi Liu, Miltos Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  NIPS 2018 | December 2018
  
  Publication プロジェクト
- Structured Neural Summarization
  
  Patrick Fernandes, Miltos Allamanis, Marc Brockschmidt
  
  2018 International Conference on Learning Representations | September 2018
  
  PDF Publication Publication Publication
- Robust Text-to-SQL Generation with Execution-Guided Decoding
  
  Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh
  
  September 2018
  
  Publication
- A Survey of Machine Learning for Big Code and Naturalness
  
  Miltos Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton
  
  ACM Computing Surveys | July 2018, 巻51(4): pp. 81
  
  PDF Publication DOI
- Semantics-aware Program Sampling
  
  Pratiksha Thaker, Daniel Tarlow, Marc Brockschmidt, Alexander Gaunt
  
  MSR-TR-2017-47 | November 2017
  
  公開日
- Graph Partition Neural Networks for Semi-Supervised Classification
  
  Renjie Liao, Marc Brockschmidt (mabrocks), Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel
  
  MSR-TR-2017-46 | November 2017
  
  Microsoft による投稿
  
  Publication
- Pointing Out SQL Queries From Text
  
  Chenglong Wang, Marc Brockschmidt, Rishabh Singh
  
  MSR-TR-2017-45 | November 2017
  
  公開日 Github
- Learning to Represent Programs with Graphs
  
  Miltos Allamanis, Marc Brockschmidt, Mahmoud Khademi
  
  International Conference on Learning Representations 2018 | November 2017
  
  Publication ダウンロード
- Differentiable Programs with Neural Libraries
  
  Alexander Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
  
  Proceedings of ICML’17 | July 2017
  
  公開日
- Learning Shape Analysis
  
  Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow
  
  Proceedings of SAS’17 | July 2017
  
  公開日
- SmartPaste: Learning to Adapt Source Code
  
  Miltos Allamanis, Marc Brockschmidt
  
  May 2017
  
  Publication
- Neural Program Lattices
  
  Chengtao Li, Daniel Tarlow, Alexander Gaunt, Marc Brockschmidt, Nate Kushman
  
  Proceedings of ICLR’17 | March 2017
  
  公開日
- Differentiable Functional Program Interpreters
  
  John K. Feser, Marc Brockschmidt, Alexander Gaunt, Daniel Tarlow
  
  March 2017
  
  公開日
- DeepCoder: Learning to Write Programs
  
  Matej Balog, Alexander Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
  
  Proceedings of ICLR’17 | March 2017
  
  Publication Publication
- Mining Semantic Loop Idioms from Big Code
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar Devanbu, Mark Marron, Charles Sutton
  
  MSR-TR-2016-1116 | November 2016
  
  公開日
- TerpreT: A Probabilistic Programming Language for Program Induction
  
  Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Daniel Tarlow
  
  August 2016
  
  Best paper at NIPS Workshop on Neural Abstract Machines and Program Induction (NAMPI 2016)
  
  Publication Publication
- Gated Graph Sequence Neural Networks
  
  Yujia Li, Richard Zemel, Marc Brockschmidt, Daniel Tarlow
  
  Proceedings of ICLR’16 | April 2016
  
  公開日公開日動画
- SWIM: Synthesizing What I Mean
  
  Mukund Raghothaman, Yi Wei, Youssef Hamadi
  
  ICSE 2016 | February 2016
  
  DOI Publication
- A Convolutional Attention Network for Extreme Summarization of Source Code
  
  Miltos Allamanis, Hao Peng, Charles Sutton
  
  2016 International Conference on Machine Learning | February 2016
  
  PDF Publication
- Bimodal Modelling of Source Code and Natural Language
  
  Miltos Allamanis, Daniel Tarlow, Andy Gordon, Yi Wei
  
  International Conference on Machine Learning | August 2015
  
  Publication
- Structured Generative Models of Natural Source Code
  
  Chris J. Maddison, Daniel Tarlow
  
  The 31st International Conference on Machine Learning (ICML) | June 2014
  
  PDF Publication
- Learning to Complete Code with Sketches
  
  Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- HEAT: Hyperedge Attention Networks
  
  Dobrik Georgiev, Marc Brockschmidt, Miltos Allamanis
  
  January 2022
  
  Publication
- Self-Supervised Bug Detection and Repair
  
  Miltos Allamanis, Henry Jackson-Flux, Marc Brockschmidt
  
  NeurIPS 2021 | May 2021
  
  Publication Publication Publication
- Typilus: Neural Type Hints
  
  Miltos Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
  
  2020 Programming Language Design and Implementation | June 2020
  
  DOI Publication Publication Publication Publication
- Fast and Memory-Efficient Neural Code Completion
  
  Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltos Allamanis
  
  Mining Software Repositories | April 2020
  
  Publication Publication
- DIRE: a neural approach to decompiled identifier naming
  
  Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltos Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
  
  2019 Automated Software Engineering | November 2019
  
  DOI Publication Publication Publication Publication
- The adverse effects of code duplication in machine learning models of code
  
  Miltos Allamanis
  
  2019 SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software | October 2019
  
  DOI Publication Publication Publication Publication Publication
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.
  
  Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltos Allamanis, Marc Brockschmidt
  
  MSR-TR-2019-45 | September 2019
  
  Microsoft による投稿
  
  Publication Publication Publication Publication
- Generative Code Modeling with Graphs
  
  Marc Brockschmidt, Miltos Allamanis, Alex Gaunt, Alex Polozov
  
  7th International Conference on Learning Representations | May 2019
  
  Publication
- Learning to Represent Edits
  
  Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  ICLR 2019 | May 2019
  
  arXiv:1810.13337 [cs.LG]
  
  Publication
- Constrained Graph Variational Autoencoders for Molecule Design
  
  Qi Liu, Miltos Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  NIPS 2018 | December 2018
  
  Publication プロジェクト
- Deep learning type inference
  
  Vincent J. Hellendoorn, Christian Bird, Earl T. Barr, Miltos Allamanis
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- RefiNym: using names to refine types
  
  Santanu Kumar Dash, Miltos Allamanis, Earl T. Barr
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- Semantics-aware Program Sampling
  
  Pratiksha Thaker, Daniel Tarlow, Marc Brockschmidt, Alexander Gaunt
  
  MSR-TR-2017-47 | November 2017
  
  公開日
- Pointing Out SQL Queries From Text
  
  Chenglong Wang, Marc Brockschmidt, Rishabh Singh
  
  MSR-TR-2017-45 | November 2017
  
  公開日 Github
- Learning to Represent Programs with Graphs
  
  Miltos Allamanis, Marc Brockschmidt, Mahmoud Khademi
  
  International Conference on Learning Representations 2018 | November 2017
  
  Publication ダウンロード
- Differentiable Programs with Neural Libraries
  
  Alexander Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
  
  Proceedings of ICML’17 | July 2017
  
  公開日
- Learning Shape Analysis
  
  Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow
  
  Proceedings of SAS’17 | July 2017
  
  公開日
- SmartPaste: Learning to Adapt Source Code
  
  Miltos Allamanis, Marc Brockschmidt
  
  May 2017
  
  Publication
- Neural Program Lattices
  
  Chengtao Li, Daniel Tarlow, Alexander Gaunt, Marc Brockschmidt, Nate Kushman
  
  Proceedings of ICLR’17 | March 2017
  
  公開日
- Differentiable Functional Program Interpreters
  
  John K. Feser, Marc Brockschmidt, Alexander Gaunt, Daniel Tarlow
  
  March 2017
  
  公開日
- DeepCoder: Learning to Write Programs
  
  Matej Balog, Alexander Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
  
  Proceedings of ICLR’17 | March 2017
  
  Publication Publication
- Mining Semantic Loop Idioms from Big Code
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar Devanbu, Mark Marron, Charles Sutton
  
  MSR-TR-2016-1116 | November 2016
  
  公開日
- TerpreT: A Probabilistic Programming Language for Program Induction
  
  Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Daniel Tarlow
  
  August 2016
  
  Best paper at NIPS Workshop on Neural Abstract Machines and Program Induction (NAMPI 2016)
  
  Publication Publication
- SWIM: Synthesizing What I Mean
  
  Mukund Raghothaman, Yi Wei, Youssef Hamadi
  
  ICSE 2016 | February 2016
  
  DOI Publication
- Suggesting accurate method and class names
  
  Miltos Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  2015 Foundations of Software Engineering | August 2015
  
  DOI Publication
- Bimodal Modelling of Source Code and Natural Language
  
  Miltos Allamanis, Daniel Tarlow, Andy Gordon, Yi Wei
  
  International Conference on Machine Learning | August 2015
  
  Publication
- Learning to Decipher the Heap for Program Verification
  
  Marc Brockschmidt, Yuxin Chen, Byron Cook, Pushmeet Kohli, Daniel Tarlow
  
  ICML 2015 Proceedings of the Constructive Machine Learning | July 2015
  
  公開日
- Learning Natural Coding Conventions
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  Proceedings of the ACM SigSoft Symposium on Foundations of Software Engineering | November 2014
  
  公開日

- Learning to Complete Code with Sketches
  
  Daya Guo, Alexey Svyatkovskiy, Jian Yin, Nan Duan, Marc Brockschmidt, Miltos Allamanis
  
  ICLR 2022 | April 2022
  
  Publication プロジェクト
- Self-Supervised Bug Detection and Repair
  
  Miltos Allamanis, Henry Jackson-Flux, Marc Brockschmidt
  
  NeurIPS 2021 | May 2021
  
  Publication Publication Publication
- Copy that! Editing Sequences by Copying Spans
  
  Sheena Panthaplackel, Miltos Allamanis, Marc Brockschmidt
  
  AAAI | January 2021
  
  PDF Publication Publication Publication Publication
- Typilus: Neural Type Hints
  
  Miltos Allamanis, Earl T. Barr, Soline Ducousso, Zheng Gao
  
  2020 Programming Language Design and Implementation | June 2020
  
  DOI Publication Publication Publication Publication
- Fast and Memory-Efficient Neural Code Completion
  
  Alexey Svyatkovskiy, Sebastian Lee, Anna Hadjitofi, Maik Riechert, Juliana Vicente Franco, Miltos Allamanis
  
  Mining Software Repositories | April 2020
  
  Publication Publication
- DIRE: a neural approach to decompiled identifier naming
  
  Jeremy Lacomis, Pengcheng Yin, Edward J. Schwartz, Miltos Allamanis, Claire Le Goues, Graham Neubig, Bogdan Vasilescu
  
  2019 Automated Software Engineering | November 2019
  
  DOI Publication Publication Publication Publication
- The adverse effects of code duplication in machine learning models of code
  
  Miltos Allamanis
  
  2019 SIGPLAN symposium on New ideas, new paradigms, and reflections on programming and software | October 2019
  
  DOI Publication Publication Publication Publication Publication
- Generative Code Modeling with Graphs
  
  Marc Brockschmidt, Miltos Allamanis, Alex Gaunt, Alex Polozov
  
  7th International Conference on Learning Representations | May 2019
  
  Publication
- Learning to Represent Edits
  
  Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  ICLR 2019 | May 2019
  
  arXiv:1810.13337 [cs.LG]
  
  Publication
- Constrained Graph Variational Autoencoders for Molecule Design
  
  Qi Liu, Miltos Allamanis, Marc Brockschmidt, Alexander Gaunt
  
  NIPS 2018 | December 2018
  
  Publication プロジェクト
- Deep learning type inference
  
  Vincent J. Hellendoorn, Christian Bird, Earl T. Barr, Miltos Allamanis
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- RefiNym: using names to refine types
  
  Santanu Kumar Dash, Miltos Allamanis, Earl T. Barr
  
  2018 Foundations of Software Engineering | October 2018
  
  DOI Publication
- Structured Neural Summarization
  
  Patrick Fernandes, Miltos Allamanis, Marc Brockschmidt
  
  2018 International Conference on Learning Representations | September 2018
  
  PDF Publication Publication Publication
- Learning to Represent Programs with Graphs
  
  Miltos Allamanis, Marc Brockschmidt, Mahmoud Khademi
  
  International Conference on Learning Representations 2018 | November 2017
  
  Publication ダウンロード
- Differentiable Programs with Neural Libraries
  
  Alexander Gaunt, Marc Brockschmidt, Nate Kushman, Daniel Tarlow
  
  Proceedings of ICML’17 | July 2017
  
  公開日
- Learning Shape Analysis
  
  Marc Brockschmidt, Yuxin Chen, Pushmeet Kohli, Siddharth Krishna, Daniel Tarlow
  
  Proceedings of SAS’17 | July 2017
  
  公開日
- Neural Program Lattices
  
  Chengtao Li, Daniel Tarlow, Alexander Gaunt, Marc Brockschmidt, Nate Kushman
  
  Proceedings of ICLR’17 | March 2017
  
  公開日
- Differentiable Functional Program Interpreters
  
  John K. Feser, Marc Brockschmidt, Alexander Gaunt, Daniel Tarlow
  
  March 2017
  
  公開日
- DeepCoder: Learning to Write Programs
  
  Matej Balog, Alexander Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow
  
  Proceedings of ICLR’17 | March 2017
  
  Publication Publication
- Gated Graph Sequence Neural Networks
  
  Yujia Li, Richard Zemel, Marc Brockschmidt, Daniel Tarlow
  
  Proceedings of ICLR’16 | April 2016
  
  公開日公開日動画
- SWIM: Synthesizing What I Mean
  
  Mukund Raghothaman, Yi Wei, Youssef Hamadi
  
  ICSE 2016 | February 2016
  
  DOI Publication
- A Convolutional Attention Network for Extreme Summarization of Source Code
  
  Miltos Allamanis, Hao Peng, Charles Sutton
  
  2016 International Conference on Machine Learning | February 2016
  
  PDF Publication
- Suggesting accurate method and class names
  
  Miltos Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  2015 Foundations of Software Engineering | August 2015
  
  DOI Publication
- Bimodal Modelling of Source Code and Natural Language
  
  Miltos Allamanis, Daniel Tarlow, Andy Gordon, Yi Wei
  
  International Conference on Machine Learning | August 2015
  
  Publication
- Learning to Decipher the Heap for Program Verification
  
  Marc Brockschmidt, Yuxin Chen, Byron Cook, Pushmeet Kohli, Daniel Tarlow
  
  ICML 2015 Proceedings of the Constructive Machine Learning | July 2015
  
  公開日
- Learning Natural Coding Conventions
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Charles Sutton
  
  Proceedings of the ACM SigSoft Symposium on Foundations of Software Engineering | November 2014
  
  公開日
- Structured Generative Models of Natural Source Code
  
  Chris J. Maddison, Daniel Tarlow
  
  The 31st International Conference on Machine Learning (ICML) | June 2014
  
  PDF Publication
- HEAT: Hyperedge Attention Networks
  
  Dobrik Georgiev, Marc Brockschmidt, Miltos Allamanis
  
  January 2022
  
  Publication
- Robust Text-to-SQL Generation with Execution-Guided Decoding
  
  Chenglong Wang, Kedar Tatwawadi, Marc Brockschmidt, Po-Sen Huang, Yi Mao, Oleksandr Polozov, Rishabh Singh
  
  September 2018
  
  Publication
- SmartPaste: Learning to Adapt Source Code
  
  Miltos Allamanis, Marc Brockschmidt
  
  May 2017
  
  Publication
- TerpreT: A Probabilistic Programming Language for Program Induction
  
  Alexander L. Gaunt, Marc Brockschmidt, Rishabh Singh, Nate Kushman, Pushmeet Kohli, Daniel Tarlow
  
  August 2016
  
  Best paper at NIPS Workshop on Neural Abstract Machines and Program Induction (NAMPI 2016)
  
  Publication Publication
- A Survey of Machine Learning for Big Code and Naturalness
  
  Miltos Allamanis, Earl T. Barr, Premkumar Devanbu, Charles Sutton
  
  ACM Computing Surveys | July 2018, 巻51(4): pp. 81
  
  PDF Publication DOI
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.
  
  Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltos Allamanis, Marc Brockschmidt
  
  MSR-TR-2019-45 | September 2019
  
  Microsoft による投稿
  
  Publication Publication Publication Publication
- Semantics-aware Program Sampling
  
  Pratiksha Thaker, Daniel Tarlow, Marc Brockschmidt, Alexander Gaunt
  
  MSR-TR-2017-47 | November 2017
  
  公開日
- Graph Partition Neural Networks for Semi-Supervised Classification
  
  Renjie Liao, Marc Brockschmidt (mabrocks), Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel
  
  MSR-TR-2017-46 | November 2017
  
  Microsoft による投稿
  
  Publication
- Pointing Out SQL Queries From Text
  
  Chenglong Wang, Marc Brockschmidt, Rishabh Singh
  
  MSR-TR-2017-45 | November 2017
  
  公開日 Github
- Mining Semantic Loop Idioms from Big Code
  
  Miltiadis Allamanis, Earl T. Barr, Christian Bird, Premkumar Devanbu, Mark Marron, Charles Sutton
  
  MSR-TR-2016-1116 | November 2016
  
  公開日