Andrew Ng
Andrew Ng
Verified email at cs.stanford.edu - Homepage
Title
Cited by
Cited by
Year
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
the Journal of machine Learning research 3, 993-1022, 2003
416482003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems, 849-856, 2002
103632002
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
92362009
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
58972013
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
57222013
Large scale distributed deep networks
J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ...
36692012
Distance metric learning with application to clustering with side-information
E Xing, M Jordan, SJ Russell, A Ng
Advances in neural information processing systems 15, 521-528, 2002
36542002
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
33702011
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
33692011
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2007
32602007
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
30742009
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
30032002
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
29802004
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
ICML, 2011
29302011
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
29132011
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 2, 2000
27472000
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
26632013
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
25092016
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
23692008
Feature selection, L1 vs. L2 regularization, and rotational invariance
AY Ng
Proceedings of the twenty-first international conference on Machine learning, 78, 2004
20922004
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