| Manifold regularization: A geometric framework for learning from labeled and unlabeled examples M Belkin, P Niyogi, V Sindhwani The Journal of Machine Learning Research 7, 2399-2434, 2006 | 3694 | 2006 |
| Encyclopedia of machine learning C Sammut, GI Webb Springer Science & Business Media, 2011 | 893 | 2011 |
| Recommender systems. P Melville, V Sindhwani Encyclopedia of machine learning 1, 829-838, 2010 | 579 | 2010 |
| 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 | 535 | 2003 |
| Beyond the point cloud: from transductive to semi-supervised learning V Sindhwani, P Niyogi, M Belkin Proceedings of the 22nd international conference on Machine learning, 824-831, 2005 | 516 | 2005 |
| Optimization techniques for semi-supervised support vector machines O Chapelle, V Sindhwani, SS Keerthi The Journal of Machine Learning Research 9, 203-233, 2008 | 452 | 2008 |
| Low-rank matrix factorization for deep neural network training with high-dimensional output targets TN Sainath, B Kingsbury, V Sindhwani, E Arisoy, B Ramabhadran 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 434 | 2013 |
| A co-regularization approach to semi-supervised learning with multiple views V Sindhwani, P Niyogi, M Belkin Workshop on Learning with Multiple Views at ICML 2005, 2005 | 401 | 2005 |
| SystemML: Declarative machine learning on MapReduce A Ghoting, R Krishnamurthy, E Pednault, B Reinwald, V Sindhwani, ... Data Engineering (ICDE), 2011 IEEE 27th International Conference on, 231-242, 2011 | 353 | 2011 |
| On Manifold Regularization. M Belkin, P Niyogi, V Sindhwani AISTATS, 1, 2005 | 335 | 2005 |
| Data quality from crowdsourcing: a study of annotation selection criteria PY Hsueh, P Melville, V Sindhwani Proceedings of the NAACL HLT 2009 workshop on active learning for natural …, 2009 | 322 | 2009 |
| Large scale semi-supervised linear SVMs V Sindhwani, SS Keerthi Proceedings of the 29th annual international ACM SIGIR conference on …, 2006 | 289 | 2006 |
| Semi-supervised learning X Zhou, M Belkin Academic Press Library in Signal Processing 1, 1239-1269, 2014 | 240* | 2014 |
| An RKHS for multi-view learning and manifold co-regularization V Sindhwani, DS Rosenberg Proceedings of the 25th international conference on Machine learning, 976-983, 2008 | 238 | 2008 |
| Document-word co-regularization for semi-supervised sentiment analysis V Sindhwani, P Melville Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on, 1025-1030, 2008 | 226 | 2008 |
| A non-negative matrix tri-factorization approach to sentiment classification with lexical prior knowledge T Li, Y Zhang, V Sindhwani Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009 | 188 | 2009 |
| An efficient method for gradient-based adaptation of hyperparameters in SVM models S Keerthi, V Sindhwani, O Chapelle | 165 | 2007 |
| Branch and bound for semi-supervised support vector machines O Chapelle, V Sindhwani, S Keerthi | 161 | 2007 |
| Structured transforms for small-footprint deep learning V Sindhwani, T Sainath, S Kumar Advances in Neural Information Processing Systems, 3088-3096, 2015 | 157 | 2015 |
| Deterministic annealing for semi-supervised kernel machines V Sindhwani, SS Keerthi, O Chapelle Proceedings of the 23rd international conference on Machine learning, 841-848, 2006 | 151 | 2006 |
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