Charles Sutton

Cited by

	All	Since 2018
Citations	14681	9838
h-index	51	39
i10-index	106	86

2600

1300

650

1950

200520062007200820092010201120122013201420152016201720182019202020212022202364 82 102 180 261 332 360 446 430 501 459 614 714 942 1193 1664 1917 2597 1515

Public access

View all

33 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Miltiadis AllamanisGoogle Deep MindVerified email at google.com
Earl T. BarrProfessor, University College LondonVerified email at ucl.ac.uk
Akash SrivastavaMIT, IBM Research, University of EdinburghVerified email at mit.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
David BieberGoogleVerified email at google.com
Nigel GoddardAssociate Professor, Informatics, University of EdinburghVerified email at ed.ac.uk
Rishabh SinghResearch Scientist, Google BrainVerified email at google.com
Lazar ValkovMIT-IBM Watson AI LabVerified email at ibm.com
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
Rafael-Michael KarampatsisPostdoctoral researcher, School of Informatics, University of EdinburghVerified email at sms.ed.ac.uk
Christian BirdMicrosoft ResearchVerified email at microsoft.com
Mingjun ZhongDepartment of Computing Science, University of Aberdeen, UKVerified email at abdn.ac.uk
Augustus OdenaResearch ScientistVerified email at columbia.edu
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk
David DohanGoogle BrainVerified email at google.com
Henryk MichalewskiGoogleVerified email at google.com
Peter BodikPrincipal Researcher at Microsoft ResearchVerified email at microsoft.com
David PattersonProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
Armando FoxUC BerkeleyVerified email at berkeley.edu

Charles Sutton

Google, University of Edinburgh

Verified email at inf.ed.ac.uk - Homepage

Machine learning artificial intelligence natural language processing programming languages software engineering


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An introduction to conditional random fields C Sutton, A McCallum Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012	2568	2012
Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022	929	2022
A survey of machine learning for big code and naturalness M Allamanis, ET Barr, P Devanbu, C Sutton ACM Computing Surveys (CSUR) 51 (4), 1-37, 2018	764	2018
Dynamic conditional random fields: Factorized probabilistic models for labeling and segmenting sequence data C Sutton, K Rohanimanesh, A McCallum Proceedings of the twenty-first international conference on Machine learning, 99, 2004	644	2004
Veegan: Reducing mode collapse in gans using implicit variational learning A Srivastava, L Valkov, C Russell, MU Gutmann, C Sutton Advances in neural information processing systems 30, 2017	632	2017
A convolutional attention network for extreme summarization of source code M Allamanis, H Peng, C Sutton International conference on machine learning, 2091-2100, 2016	600	2016
Autoencoding variational inference for topic models A Srivastava, C Sutton arXiv preprint arXiv:1703.01488, 2017	473	2017
Learning natural coding conventions M Allamanis, ET Barr, C Bird, C Sutton Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014	442	2014
Suggesting accurate method and class names M Allamanis, ET Barr, C Bird, C Sutton Proceedings of the 2015 10th joint meeting on foundations of software …, 2015	432	2015
Sequence-to-point learning with neural networks for non-intrusive load monitoring C Zhang, M Zhong, Z Wang, N Goddard, C Sutton Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018	402	2018
Exploiting machine learning to subvert your spam filter. B Nelson, M Barreno, FJ Chi, AD Joseph, BIP Rubinstein, U Saini, ... LEET 8 (1-9), 16-17, 2008	401	2008
Mining source code repositories at massive scale using language modeling M Allamanis, C Sutton 2013 10th working conference on mining software repositories (MSR), 207-216, 2013	394	2013
Statistical Machine Learning Makes Automatic Control Practical for Internet Datacenters. P Bodík, R Griffith, C Sutton, A Fox, MI Jordan, DA Patterson HotCloud 9, 12-12, 2009	288	2009
Gemsec: Graph embedding with self clustering B Rozemberczki, R Davies, R Sarkar, C Sutton Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019	267	2019
Piecewise training for undirected models C Sutton, A McCallum arXiv preprint arXiv:1207.1409, 2012	232	2012
Program synthesis with large language models J Austin, A Odena, M Nye, M Bosma, H Michalewski, D Dohan, E Jiang, ... arXiv preprint arXiv:2108.07732, 2021	226	2021
Mining idioms from source code M Allamanis, C Sutton Proceedings of the 22nd acm sigsoft international symposium on foundations …, 2014	203	2014
Global relational models of source code VJ Hellendoorn, P Maniatis, R Singh, C Sutton, D Bieber	190	2020
Why, when, and what: analyzing stack overflow questions by topic, type, and code M Allamanis, C Sutton 2013 10th Working conference on mining software repositories (MSR), 53-56, 2013	177	2013
Collective segmentation and labeling of distant entities in information extraction C Sutton, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004	170	2004

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors