Xiaojin Zhu

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	Toate	Din 2019
Referințe bibliografice	36212	16225
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i10-index	222	131

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Andrew B. GoldbergINKY Technology CorporationAdresă de e-mail confirmată pe inky.com
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresă de e-mail confirmată pe eng.cam.ac.uk
Robert D NowakKeith and Jane Morgan Nosbusch Professor in ECE, Grace Wahba Professor of Data ScienceAdresă de e-mail confirmată pe wisc.edu
Jun-Ming XuGoogleAdresă de e-mail confirmată pe wisc.edu
Timothy T. RogersProfessor of Psychology, University of Wisconsin-MadisonAdresă de e-mail confirmată pe wisc.edu
Xuezhou ZhangBoston UniversityAdresă de e-mail confirmată pe bu.edu
David M. AndrzejewskiEngineering, Sumo LogicAdresă de e-mail confirmată pe wisc.edu
Kwang-Sung JunThe University of ArizonaAdresă de e-mail confirmată pe cs.arizona.edu
Yuzhe MaMicrosoftAdresă de e-mail confirmată pe wisc.edu
Amy BellmoreProfessor of Human Development, University of Wisconsin-MadisonAdresă de e-mail confirmată pe wisc.edu
Paul BarfordProfessor of Computer Science, University of Wisconsin - MadisonAdresă de e-mail confirmată pe cs.wisc.edu
Roni RosenfeldProfessor, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu
charles kalishEmeritus Professor of Educational Psychology, university of Wisconsin MadisonAdresă de e-mail confirmată pe wisc.edu
Charles R. DyerProfessor of Computer Science, University of Wisconsin - MadisonAdresă de e-mail confirmată pe cs.wisc.edu
Barton MillerVilas Distinguished Achievement Professor, University of Wisconsin-MadisonAdresă de e-mail confirmată pe cs.wisc.edu
Mark CravenProfessor of Biostatistics and Medical Informatics, University of WisconsinAdresă de e-mail confirmată pe biostat.wisc.edu
Scott AlfeldAmherst CollegeAdresă de e-mail confirmată pe amherst.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu
Alexander WaibelCarnegie Mellon, KIT, Karlsruhe Institute of Technology, University of KarlsruheAdresă de e-mail confirmată pe cs.cmu.edu
Jie YangCarnegie Mellon UniversityAdresă de e-mail confirmată pe cs.cmu.edu

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Xiaojin Zhu

Professor in Computer Science at University of Wisconsin-Madison

Adresă de e-mail confirmată pe cs.wisc.edu - Pagina de pornire

Machine Learning


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005	5557	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	3440	2022
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002	2093	2002
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005	970	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	487	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	479	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	326	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	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	246	2005

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