Hal Daumé III

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Piyush RaiIIT KanpurPotvrđena adresa e-pošte na cse.iitk.ac.in
Jordan Boyd-GraberAssociate Professor, University of MarylandPotvrđena adresa e-pošte na umiacs.umd.edu
Abhishek KumarGoogle BrainPotvrđena adresa e-pošte na google.com
Jagadeesh JagarlamudiGooglePotvrđena adresa e-pošte na umiacs.umd.edu
John LangfordMicrosoft Research New YorkPotvrđena adresa e-pošte na hunch.net
He HeNew York UniversityPotvrđena adresa e-pošte na cs.nyu.edu
Suresh VenkatasubramanianBrown UniversityPotvrđena adresa e-pošte na brown.edu
Mohit IyyerAssistant Professor, University of Massachusetts AmherstPotvrđena adresa e-pošte na cs.umass.edu
Avishek SahaMachine Learning Scientist, AmazonPotvrđena adresa e-pošte na amazon.com
Dan GoldwasserPurdue UniversityPotvrđena adresa e-pošte na purdue.edu
Jason EisnerProfessor of Computer Science, Johns Hopkins UniversityPotvrđena adresa e-pošte na cs.jhu.edu
Kota YamaguchiCyberAgentPotvrđena adresa e-pošte na cyberagent.co.jp
Jesse DodgeAllen Institute for AIPotvrđena adresa e-pošte na allenai.org
Margaret MitchellResearch Scientist, Hugging FacePotvrđena adresa e-pošte na huggingface.co
Karl StratosRutgers UniversityPotvrđena adresa e-pošte na karlstratos.com
Lise GetoorProfessor of Computer Science, University of California, Santa CruzPotvrđena adresa e-pošte na ucsc.edu
Philip ResnikProfessor, Linguistics and UMIACS, University of MarylandPotvrđena adresa e-pošte na umd.edu
Alexander C BergProfessor of Computer Science, University of California IrvinePotvrđena adresa e-pošte na uci.edu
Tamara L BergAssociate Professor, Computer Science, UNC Chapel HillPotvrđena adresa e-pošte na cs.unc.edu
Bert HuangAssistant Professor, Tufts University Department of Computer SciencePotvrđena adresa e-pošte na vt.edu

Prati

Hal Daumé III

Associate Professor of Computer Science, University of Maryland

Potvrđena adresa e-pošte na umiacs.umd.edu - Početna stranica

Natural language processing machine learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Frustratingly easy domain adaptation H Daumé III arXiv preprint arXiv:0907.1815, 2009	1961	2009
Co-regularized multi-view spectral clustering A Kumar, P Rai, H Daume Advances in neural information processing systems 24, 2011	1152	2011
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ... Communications of the ACM 64 (12), 86-92, 2021	1121	2021
Domain adaptation for statistical classifiers H Daume III, D Marcu Journal of artificial Intelligence research 26, 101-126, 2006	1014	2006
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	932	2015
A co-training approach for multi-view spectral clustering A Kumar, H Daumé Proceedings of the 28th international conference on machine learning (ICML …, 2011	829	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	785	2012
Search-based structured prediction H Daumé, J Langford, D Marcu Machine learning 75, 297-325, 2009	647	2009
Language (technology) is power: A critical survey of" bias" in nlp SL Blodgett, S Barocas, H Daumé III, H Wallach arXiv preprint arXiv:2005.14050, 2020	539	2020
Learning task grouping and overlap in multi-task learning A Kumar, H Daume III arXiv preprint arXiv:1206.6417, 2012	528	2012
Improving fairness in machine learning systems: What do industry practitioners need? K Holstein, J Wortman Vaughan, H Daumé III, M Dudik, H Wallach Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019	509	2019
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	491	2012
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	454	2011
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	428	2014
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	337	2012
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	309	2005
Bayesian query-focused summarization H Daumé III arXiv preprint arXiv:0907.1814, 2009	305	2009
Opponent modeling in deep reinforcement learning H He, J Boyd-Graber, K Kwok, H Daumé III International conference on machine learning, 1804-1813, 2016	258	2016
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	226	2010
When does machine learning {FAIL}? generalized transferability for evasion and poisoning attacks O Suciu, R Marginean, Y Kaya, H Daume III, T Dumitras 27th {USENIX} Security Symposium ({USENIX} Security 18), 1299-1316, 2018	213	2018

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