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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
Journal of machine Learning research 3 (Jan), 993-1022, 2003
522742003
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
123312009
On spectral clustering: Analysis and an algorithm
A Ng, M Jordan, Y Weiss
Advances in neural information processing systems 14, 2001
123192001
Rectifier nonlinearities improve neural network acoustic models
AL Maas, AY Hannun, AY Ng
Proc. icml 30 (1), 3, 2013
88422013
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
87472013
Reading digits in natural images with unsupervised feature learning
Y Netzer, T Wang, A Coates, A Bissacco, B Wu, AY Ng
NIPS workshop on deep learning and unsupervised feature learning 2011 (5), 7, 2011
57082011
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
55592011
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 25, 2012
46602012
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
42882011
Apprenticeship learning via inverse reinforcement learning
P Abbeel, AY Ng
Proceedings of the twenty-first international conference on Machine learning, 1, 2004
39822004
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, 2002
39772002
Algorithms for inverse reinforcement learning.
AY Ng, S Russell
Icml 1 (2), 2, 2000
39022000
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
38742011
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
35662016
On discriminative vs. generative classifiers: A comparison of logistic regression and naive bayes
A Ng, M Jordan
Advances in neural information processing systems 14, 2001
35402001
Efficient sparse coding algorithms
H Lee, A Battle, R Raina, A Ng
Advances in neural information processing systems 19, 2006
34842006
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
34252009
Building high-level features using large scale unsupervised learning
QV Le
2013 IEEE international conference on acoustics, speech and signal …, 2013
30402013
Policy invariance under reward transformations: Theory and application to reward shaping
AY Ng, D Harada, S Russell
Icml 99, 278-287, 1999
28511999
Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning
P Rajpurkar, J Irvin, K Zhu, B Yang, H Mehta, T Duan, D Ding, A Bagul, ...
arXiv preprint arXiv:1711.05225, 2017
28382017
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