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
360352003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems 2, 849-856, 2002
93302002
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
80262009
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
47872013
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
41512013
Distance metric learning with application to clustering with side-information
EP Xing, AY Ng, MI Jordan, S Russell
NIPS 15 (505–512), 12, 2002
34372002
Large scale distributed deep networks
J Dean, GS Corrado, R Monga, K Chen, M Devin, QV Le, MZ Mao, ...
30992012
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2007
30992007
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
28242009
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
25302011
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
25272011
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
ICML, 2011
24752011
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
24162013
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
24112011
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
24092004
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
22152008
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 2, 2000
21992000
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
18782016
Feature selection, L1 vs. L2 regularization, and rotational invariance
AY Ng
Proceedings of the twenty-first international conference on Machine learning, 78, 2004
17952004
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
17302007
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Articles 1–20