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| On spectral clustering: Analysis and an algorithm AY Ng, MI Jordan, Y Weiss Advances in neural information processing systems 2, 849-856, 2002 | 9439 | 2002 |
| ROS: an open-source Robot Operating System M Quigley, K Conley, B Gerkey, J Faust, T Foote, J Leibs, R Wheeler, ... ICRA workshop on open source software 3 (3.2), 5, 2009 | 8144 | 2009 |
| Recursive deep models for semantic compositionality over a sentiment treebank R Socher, A Perelygin, J Wu, J Chuang, CD Manning, AY Ng, C Potts Proceedings of the 2013 conference on empirical methods in natural language …, 2013 | 4874 | 2013 |
| Rectifier nonlinearities improve neural network acoustic models AL Maas, AY Hannun, AY Ng Proc. icml 30 (1), 3, 2013 | 4321 | 2013 |
| Distance metric learning with application to clustering with side-information EP Xing, AY Ng, MI Jordan, S Russell NIPS 15 (505–512), 12, 2002 | 3450 | 2002 |
| Large scale distributed deep networks J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ... | 3150 | 2012 |
| Efficient sparse coding algorithms H Lee, A Battle, R Raina, AY Ng Advances in neural information processing systems, 801-808, 2007 | 3127 | 2007 |
| Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations H Lee, R Grosse, R Ranganath, AY Ng Proceedings of the 26th annual international conference on machine learning …, 2009 | 2854 | 2009 |
| Learning word vectors for sentiment analysis A Maas, RE Daly, PT Pham, D Huang, AY Ng, C Potts Proceedings of the 49th annual meeting of the association for computational …, 2011 | 2597 | 2011 |
| Reading digits in natural images with unsupervised feature learning Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng | 2597 | 2011 |
| Multimodal deep learning J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng ICML, 2011 | 2517 | 2011 |
| Apprenticeship learning via inverse reinforcement learning P Abbeel, AY Ng Proceedings of the twenty-first international conference on Machine learning, 1, 2004 | 2455 | 2004 |
| An analysis of single-layer networks in unsupervised feature learning A Coates, A Ng, H Lee Proceedings of the fourteenth international conference on artificial …, 2011 | 2452 | 2011 |
| Building high-level features using large scale unsupervised learning QV Le 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 2443 | 2013 |
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| Cheap and fast–but is it good? evaluating non-expert annotations for natural language tasks R Snow, B O’connor, D Jurafsky, AY Ng Proceedings of the 2008 conference on empirical methods in natural language …, 2008 | 2231 | 2008 |
| Deep speech 2: End-to-end speech recognition in english and mandarin D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ... International conference on machine learning, 173-182, 2016 | 1940 | 2016 |
| Feature selection, L1 vs. L2 regularization, and rotational invariance AY Ng Proceedings of the twenty-first international conference on Machine learning, 78, 2004 | 1834 | 2004 |
| Self-taught learning: transfer learning from unlabeled data R Raina, A Battle, H Lee, B Packer, AY Ng Proceedings of the 24th international conference on Machine learning, 759-766, 2007 | 1747 | 2007 |
