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Charles Sutton
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Palm: Scaling language modeling with pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
Journal of Machine Learning Research 24 (240), 1-113, 2023
58982023
An introduction to conditional random fields
C Sutton, A McCallum
Foundations and Trends® in Machine Learning 4 (4), 267-373, 2012
2888*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
15832021
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
10852018
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
8732017
Autoencoding variational inference for topic models
A Srivastava, C Sutton
arXiv preprint arXiv:1703.01488, 2017
7522017
A convolutional attention network for extreme summarization of source code
M Allamanis, H Peng, C Sutton
International conference on machine learning, 2091-2100, 2016
7512016
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
6902004
Show your work: Scratchpads for intermediate computation with language models
M Nye, AJ Andreassen, G Gur-Ari, H Michalewski, J Austin, D Bieber, ...
6802021
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
6632018
Learning natural coding conventions
M Allamanis, ET Barr, C Bird, C Sutton
Proceedings of the 22nd acm sigsoft international symposium on foundations …, 2014
5292014
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
5172015
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
5052008
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
4972013
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
3862019
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
3012009
Global relational models of source code
VJ Hellendoorn, C Sutton, R Singh, P Maniatis, D Bieber
International conference on learning representations, 2019
2792019
Big code!= big vocabulary: Open-vocabulary models for source code
RM Karampatsis, H Babii, R Robbes, C Sutton, A Janes
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
2702020
Piecewise training for undirected models
C Sutton, A McCallum
arXiv preprint arXiv:1207.1409, 2012
2352012
Mining idioms from source code
M Allamanis, C Sutton
Proceedings of the 22nd acm sigsoft international symposium on foundations …, 2014
2312014
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