Hal Daumé III

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	All	Since 2016
Citations	15708	9895
h-index	57	48
i10-index	153	113

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Piyush Rai (पीयूष राय)IIT KanpurVerified email at cse.iitk.ac.in
Jordan Boyd-GraberAssociate Professor, University of MarylandVerified email at umiacs.umd.edu
Amit GoyalResearch Scientist, Yahoo LabsVerified email at yahoo-inc.com
Abhishek KumarGoogle BrainVerified email at google.com
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Jagadeesh JagarlamudiGoogleVerified email at umiacs.umd.edu
Suresh VenkatasubramanianSchool of Computing, University of UtahVerified email at cs.utah.edu
He HeNew York UniversityVerified email at cs.nyu.edu
Avishek SahaMachine Learning Scientist, AmazonVerified email at amazon.com
Mohit IyyerAssistant Professor, University of Massachusetts AmherstVerified email at cs.umass.edu
Dan GoldwasserPurdue UniversityVerified email at purdue.edu
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityVerified email at cs.jhu.edu
Kota YamaguchiCyberAgent, Inc.Verified email at cyberagent.co.jp
Jesse DodgeCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Margaret MitchellSenior Research Scientist, GoogleVerified email at google.com
Karl StratosRutgers UniversityVerified email at karlstratos.com
Lise GetoorProfessor of Computer Science, University of California, Santa CruzVerified email at ucsc.edu
Alexander C BergProfessor of Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu

Hal Daumé III

Associate Professor of Computer Science, University of Maryland

Verified email at umiacs.umd.edu - Homepage

Natural language processing machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Frustratingly easy domain adaptation H Daumé III arXiv preprint arXiv:0907.1815, 2009	1669	2009
Domain adaptation for statistical classifiers H Daume III, D Marcu Journal of artificial Intelligence research 26, 101-126, 2006	887	2006
Co-regularized multi-view spectral clustering A Kumar, P Rai, H Daume Advances in neural information processing systems 24, 1413-1421, 2011	784	2011
Generalized multiview analysis: A discriminative latent space A Sharma, A Kumar, H Daume, DW Jacobs 2012 IEEE conference on computer vision and pattern recognition, 2160-2167, 2012	639	2012
A co-training approach for multi-view spectral clustering A Kumar, H Daumé Proceedings of the 28th international conference on machine learning (ICML …, 2011	627	2011
Deep unordered composition rivals syntactic methods for text classification M Iyyer, V Manjunatha, J Boyd-Graber, H Daumé III Proceedings of the 53rd annual meeting of the association for computational …, 2015	625	2015
Search-based structured prediction H Daumé, J Langford, D Marcu Machine learning 75 (3), 297-325, 2009	570	2009
Learning task grouping and overlap in multi-task learning A Kumar, H Daume III arXiv preprint arXiv:1206.6417, 2012	426	2012
Midge: Generating image descriptions from computer vision detections M Mitchell, J Dodge, A Goyal, K Yamaguchi, K Stratos, X Han, A Mensch, ... Proceedings of the 13th Conference of the European Chapter of the …, 2012	378	2012
A neural network for factoid question answering over paragraphs M Iyyer, J Boyd-Graber, L Claudino, R Socher, H Daumé III Proceedings of the 2014 conference on empirical methods in natural language …, 2014	368	2014
Corpus-guided sentence generation of natural images Y Yang, C Teo, H Daumé III, Y Aloimonos Proceedings of the 2011 Conference on Empirical Methods in Natural Language …, 2011	365	2011
Learning as search optimization: Approximate large margin methods for structured prediction H Daumé III, D Marcu Proceedings of the 22nd international conference on Machine learning, 169-176, 2005	301	2005
Bayesian query-focused summarization H Daumé III arXiv preprint arXiv:0907.1814, 2009	262	2009
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, ... arXiv preprint arXiv:1803.09010, 2018	235	2018
Incorporating lexical priors into topic models J Jagarlamudi, H Daumé III, R Udupa Proceedings of the 13th Conference of the European Chapter of the …, 2012	217	2012
Frustratingly easy semi-supervised domain adaptation H Daumé III, A Kumar, A Saha Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language …, 2010	199	2010
Notes on CG and LM-BFGS optimization of logistic regression H Daumé III Paper available at http://pub. hal3. name# daume04cg-bfgs, implementation …, 2004	177	2004
Co-regularization based semi-supervised domain adaptation A Kumar, A Saha, H Daume Advances in neural information processing systems 23, 478-486, 2010	174	2010
Learning to search better than your teacher KW Chang, A Krishnamurthy, A Agarwal, H Daume, J Langford International Conference on Machine Learning, 2058-2066, 2015	166	2015
Modeling learner engagement in MOOCs using probabilistic soft logic A Ramesh, D Goldwasser, B Huang, H Daumé III, L Getoor NIPS workshop on data driven education 21, 62, 2013	150	2013

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