Andrew Ng
Andrew Ng
Verifierad e-postadress på cs.stanford.edu - Startsida
Titel
Citeras av
Citeras av
År
Latent dirichlet allocation
DM Blei, AY Ng, MI Jordan
Journal of machine Learning research 3 (Jan), 993-1022, 2003
342142003
On spectral clustering: Analysis and an algorithm
AY Ng, MI Jordan, Y Weiss
Advances in neural information processing systems, 849-856, 2002
89252002
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
76492009
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
44392013
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
36772013
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
32822003
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, AY Ng
Advances in neural information processing systems, 801-808, 2007
29892007
Large scale distributed deep networks
J Dean, G Corrado, R Monga, K Chen, M Devin, M Mao, M Ranzato, ...
Advances in neural information processing systems, 1223-1231, 2012
28802012
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
26722009
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
26022002
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
23152011
Multimodal deep learning
J Ngiam, A Khosla, M Kim, J Nam, H Lee, AY Ng
ICML, 2011
23032011
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
22892013
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
22742011
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
22732004
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
22422011
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
21622008
Algorithms for inverse reinforcement learning.
AY Ng, SJ Russell
Icml 1, 2, 2000
20482000
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
17372016
Feature selection, L1 vs. L2 regularization, and rotational invariance
AY Ng
Proceedings of the twenty-first international conference on Machine learning, 78, 2004
16912004
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20