Andrew Ng
Andrew Ng
Verified email at cs.stanford.edu - Homepage
TitleCited byYear
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
277382003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems, 849-856, 2002
76002002
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
58632009
Recursive deep models for semantic compositionality over a sentiment treebank
R Socher, A Perelygin, J Wu, J Chuang, CD Manning, A Ng, C Potts
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
29652013
Distance metric learning with application to clustering with side-information
EP Xing, MI Jordan, SJ Russell, AY Ng
Advances in neural information processing systems, 521-528, 2003
29292003
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2007
26722007
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
22002009
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
AY Ng, MI Jordan
Advances in neural information processing systems, 841-848, 2002
21422002
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, A Senior, ...
Advances in neural information processing systems, 1223-1231, 2012
20602012
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
19882013
Building high-level features using large scale unsupervised learning
QV Le, MA Ranzato, R Monga, M Devin, K Chen, GS Corrado, J Dean, ...
arXiv preprint arXiv:1112.6209, 2011
19292011
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 conference on empirical methods in natural language …, 2008
18442008
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
17302004
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
17242011
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
Proceedings of the 28th international conference on machine learning (ICML …, 2011
17162011
Map-reduce for machine learning on multicore
CT Chu, SK Kim, YA Lin, YY Yu, G Bradski, K Olukotun, AY Ng
Advances in neural information processing systems, 281-288, 2007
15092007
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 2, 2000
15082000
Learning word vectors for sentiment analysis
AL Maas, RE Daly, PT Pham, D Huang, AY Ng, C Potts
Proceedings of the 49th annual meeting of the association for computational …, 2011
14112011
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
13882007
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
13512011
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