Xiaojin Zhu

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

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Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Email verificata su cs.wisc.edu - Home page

Machine Learning


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	5562	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	5255	2003
Introduction to semi-supervised learning X Zhu, AB Goldberg Springer Nature, 2022	3446	2022
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2094	2002
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005	971	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	711	2003
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	558	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	542	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	486	2015
Out-of-distribution detection with deep nearest neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning, 20827-20840, 2022	482	2022
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	470	2006
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 2008	348	2008
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	338	2007
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	336	2015
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	329	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	327	2007
Data poisoning attacks against autoregressive models S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	291	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	266	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	246	2005

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