Hal Daumé III

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Jordan Boyd-GraberFull Professor, University of MarylandPotvrđena adresa e-pošte na umiacs.umd.edu
Piyush RaiIIT KanpurPotvrđena adresa e-pošte na cse.iitk.ac.in
Amit GoyalAmazon MusicPotvrđena adresa e-pošte na amazon.com
Abhishek KumarGoogle BrainPotvrđena adresa e-pošte na google.com
John LangfordMicrosoft Research New YorkPotvrđena adresa e-pošte na hunch.net
Jagadeesh JagarlamudiGooglePotvrđena adresa e-pošte na umiacs.umd.edu
He HeNew York UniversityPotvrđena adresa e-pošte na cs.nyu.edu
Suresh VenkatasubramanianBrown UniversityPotvrđena adresa e-pošte na brown.edu
Mohit IyyerAssociate Professor, University of MarylandPotvrđena adresa e-pošte na umd.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
Philip ResnikProfessor, Linguistics and UMIACS, University of MarylandPotvrđena adresa e-pošte na umd.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 StratosEssential AIPotvrđena adresa e-pošte na karlstratos.com
Lise GetoorDistinguished Professor of Computer Science & Engineering, University of California, Santa CruzPotvrđena adresa e-pošte na ucsc.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

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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
Datasheets for datasets T Gebru, J Morgenstern, B Vecchione, JW Vaughan, H Wallach, HD Iii, ... Communications of the ACM 64 (12), 86-92, 2021	2654	2021
Frustratingly easy domain adaptation H Daumé III arXiv preprint arXiv:0907.1815, 2009	2208	2009
Co-regularized multi-view spectral clustering A Kumar, P Rai, H Daume Advances in neural information processing systems 24, 2011	1465	2011
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	1352	2020
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	1143	2015
Domain adaptation for statistical classifiers H Daume III, D Marcu Journal of artificial Intelligence research 26, 101-126, 2006	1098	2006
A co-training approach for multi-view spectral clustering A Kumar, H Daumé Proceedings of the 28th international conference on machine learning (ICML …, 2011	1013	2011
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	976	2019
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	808	2012
Search-based structured prediction H Daumé, J Langford, D Marcu Machine learning 75, 297-325, 2009	722	2009
Learning task grouping and overlap in multi-task learning A Kumar, H Daume III arXiv preprint arXiv:1206.6417, 2012	623	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	587	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	531	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	468	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	454	2012
Opponent modeling in deep reinforcement learning H He, J Boyd-Graber, K Kwok, H Daumé III International conference on machine learning, 1804-1813, 2016	407	2016
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	354	2018
Learning to search in branch and bound algorithms H He, H Daume III, JM Eisner Advances in neural information processing systems 27, 2014	324	2014
Bayesian query-focused summarization H Daumé III arXiv preprint arXiv:0907.1814, 2009	320	2009
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	319	2005

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