Xiaojin Zhu

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Andrew B. GoldbergINKY Technology CorporationEmail confirmado em inky.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleEmail confirmado em eng.cam.ac.uk
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceEmail confirmado em wisc.edu
Jun-Ming XuGoogleEmail confirmado em wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonEmail confirmado em wisc.edu
Xuezhou ZhangBoston UniversityEmail confirmado em bu.edu
David M. AndrzejewskiEngineering, Sumo LogicEmail confirmado em wisc.edu
Kwang-Sung JunThe University of ArizonaEmail confirmado em cs.arizona.edu
Yuzhe MaMicrosoftEmail confirmado em wisc.edu
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonEmail confirmado em wisc.edu
Paul BarfordProfessor of Computer Science, University of Wisconsin - MadisonEmail confirmado em cs.wisc.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
charles kalishEmeritus Professor of Educational Psychology, university of Wisconsin MadisonEmail confirmado em wisc.edu
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonEmail confirmado em cs.wisc.edu
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonEmail confirmado em cs.wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinEmail confirmado em biostat.wisc.edu
Scott AlfeldAmherst CollegeEmail confirmado em amherst.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityEmail confirmado em cmu.edu
AnHai DoanProfessor of Computer Science, University of Wisconsin-MadisonEmail confirmado em cs.wisc.edu
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheEmail confirmado em cs.cmu.edu

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Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Email confirmado em cs.wisc.edu - Página inicial

Machine Learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	5615	2005
Semi-supervised learning using gaussian fields and harmonic functions X Zhu, Z Ghahramani, JD Lafferty Proceedings of the 20th International conference on Machine learning (ICML …, 2003	5317	2003
Introduction to semi-supervised learning X Zhu, A Goldberg Morgan & Claypool Publishers, 2009	3504	2009
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2143	2002
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005	982	2005
Combining Active Learning and Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions X Zhu, J Lafferty, Z Ghahramani ICML 2003 workshop on The Continuum from Labeled to Unlabeled Data in …, 2003	720	2003
Out-of-distribution detection with deep nearest neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning, 20827-20840, 2022	571	2022
Incorporating domain knowledge into topic modeling via Dirichlet forest priors D Andrzejewski, X Zhu, M Craven Proceedings of the 26th annual international conference on machine learning …, 2009	567	2009
Learning from bullying traces in social media JM Xu, KS Jun, X Zhu, A Bellmore Proceedings of the 2012 conference of the North American chapter of the …, 2012	541	2012
Using machine teaching to identify optimal training-set attacks on machine learners S Mei, X Zhu Proceedings of the aaai conference on artificial intelligence 29 (1), 2015	498	2015
Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization AB Goldberg, X Zhu Proceedings of TextGraphs: The first workshop on graph based methods for …, 2006	471	2006
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 2008	355	2008
Machine teaching: An inverse problem to machine learning and an approach toward optimal education X Zhu Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015	343	2015
A topic model for word sense disambiguation J Boyd-Graber, D Blei, X Zhu Proceedings of the 2007 joint conference on empirical methods in natural …, 2007	341	2007
Corleone: Hands-off crowdsourcing for entity matching C Gokhale, S Das, AH Doan, JF Naughton, N Rampalli, J Shavlik, X Zhu Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014	323	2014
Improving diversity in ranking using absorbing random walks X Zhu, AB Goldberg, J Van Gael, D Andrzejewski Human Language Technologies 2007: The Conference of the North American …, 2007	322	2007
Data poisoning attacks against autoregressive models S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	289	2016
Transduction with matrix completion: Three birds with one stone A Goldberg, B Recht, J Xu, R Nowak, J Zhu Advances in neural information processing systems 23, 2010	265	2010
Segmenting hands of arbitrary color X Zhu, J Yang, A Waibel Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000	258	2000
Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning X Zhu, J Lafferty Proceedings of the 22nd international conference on Machine learning, 1052-1059, 2005	249	2005

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