Следене
Charles Sutton
Заглавие
Позовавания
Позовавания
Година
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
24552012
Introduction to statistical relational learning
D Koller, N Friedman, S Džeroski, C Sutton, A McCallum, A Pfeffer, ...
MIT press, 2007
19112007
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
6232004
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
6092018
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
5262017
A convolutional attention network for extreme summarization of source code
M Allamanis, H Peng, C Sutton
International conference on machine learning, 2091-2100, 2016
5062016
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
3902015
Autoencoding variational inference for topic models
A Srivastava, C Sutton
arXiv preprint arXiv:1703.01488, 2017
3852017
Learning natural coding conventions
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations …, 2014
3752014
Exploiting machine learning to subvert your spam filter.
B Nelson, M Barreno, FJ Chi, AD Joseph, BIP Rubinstein, U Saini, ...
LEET 8 (1), 9, 2008
3542008
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
3462013
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
3172018
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
2902009
Piecewise training for undirected models
C Sutton, A McCallum
arXiv preprint arXiv:1207.1409, 2012
2292012
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
2202019
Mining idioms from source code
M Allamanis, C Sutton
Proceedings of the 22nd acm sigsoft international symposium on foundations …, 2014
1872014
Collective segmentation and labeling of distant entities in information extraction
C Sutton, A McCallum
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER SCIENCE, 2004
1672004
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
1622013
Probabilistic inference over RFID streams in mobile environments
T Tran, C Sutton, R Cocci, Y Nie, Y Diao, P Shenoy
2009 IEEE 25th International Conference on Data Engineering, 1096-1107, 2009
1572009
Piecewise pseudolikelihood for efficient training of conditional random fields
C Sutton, A McCallum
Proceedings of the 24th international conference on Machine learning, 863-870, 2007
1382007
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