Semi-supervised learning literature survey XJ Zhu University of Wisconsin-Madison Department of Computer Sciences, 2005 | 5447 | 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 | 5166 | 2003 |
Introduction to semi-supervised learning X Zhu, AB Goldberg Springer Nature, 2022 | 3275 | 2022 |
Learning from labeled and unlabeled data with label propagation X ZhuЃ, Z GhahramaniЃн ProQuest number: information to all users, 2002 | 2016 | 2002 |
Semi-supervised learning with graphs X Zhu Carnegie Mellon University, 2005 | 946 | 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 | 696 | 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 | 554 | 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 | 524 | 2012 |
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 |
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 | 466 | 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 | 338 | 2007 |
Out-of-distribution detection with deep nearest neighbors Y Sun, Y Ming, X Zhu, Y Li International Conference on Machine Learning, 20827-20840, 2022 | 335 | 2022 |
Unlabeled data: Now it helps, now it doesn't A Singh, R Nowak, J Zhu Advances in neural information processing systems 21, 2008 | 335 | 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 | 327 | 2015 |
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 | 323 | 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 | 314 | 2014 |
Data poisoning attacks against autoregressive models S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 281 | 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 | 263 | 2010 |
Segmenting hands of arbitrary color X Zhu, J Yang, A Waibel Proceedings Fourth IEEE International Conference on Automatic Face and …, 2000 | 256 | 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 | 243 | 2005 |