Charles Sutton

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Andrew McCallumDistinguished Professor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Miltiadis AllamanisGoogle ResearchVerified 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
Nigel GoddardAssociate Professor, Informatics, University of EdinburghVerified email at ed.ac.uk
David BieberGoogleVerified email at google.com
Rishabh SinghResearch Scientist, Google BrainVerified email at google.com
Rafael-Michael KarampatsisPostdoctoral researcher, School of Informatics, University of EdinburghVerified email at sms.ed.ac.uk
Christian BirdMicrosoft ResearchVerified email at microsoft.com
Andrew D GordonMicrosoft Research and University of EdinburghVerified email at microsoft.com
Mingjun ZhongDepartment of Computing Science, University of Aberdeen, UKVerified email at abdn.ac.uk
Lazar ValkovMIT-IBM Watson AI LabVerified email at ibm.com
Augustus OdenaResearch ScientistVerified email at columbia.edu
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
Prem DevanbuDistinguished Professor (பேராசிரியர்), ACM FellowVerified email at ucdavis.edu
David DohanGoogle BrainVerified email at google.com
Michael U. GutmannUniversity of EdinburghVerified email at ed.ac.uk

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


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An introduction to conditional random fields C Sutton, A McCallum Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012	2520	2012
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	716	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	633	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	600	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	564	2016
Palm: Scaling language modeling with pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ... arXiv preprint arXiv:2204.02311, 2022	510	2022
Autoencoding variational inference for topic models A Srivastava, C Sutton arXiv preprint arXiv:1703.01488, 2017	441	2017
Learning natural coding conventions M Allamanis, ET Barr, C Bird, C Sutton Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014	424	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	421	2015
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	392	2008
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	373	2018
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	373	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	250	2019
Piecewise training for undirected models C Sutton, A McCallum arXiv preprint arXiv:1207.1409, 2012	232	2012
Mining idioms from source code M Allamanis, C Sutton Proceedings of the 22nd acm sigsoft international symposium on foundations …, 2014	201	2014
Global relational models of source code VJ Hellendoorn, P Maniatis, R Singh, C Sutton, D Bieber	175	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	173	2013
Collective segmentation and labeling of distant entities in information extraction C Sutton, A McCallum MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004	171	2004
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	167	2021

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