引用次数
引用: 256,994
H-指数: 147
I10-指数 : 346
出版物: 529
Data-intensive Question Answering
Susan T. Dumais , Andrew Y. Ng , Michele Banko , Jimmy J. Lin
text retrieval conference 393 -400
271
2001
Improving Text Classification by Shrinkage in a Hierarchy of Classes
Andrew McCallum , Ronald Rosenfeld , Thomas Mitchell , Andrew Y Ng
international conference on machine learning 359 -367
715
1998
An Empirical Evaluation of Deep Learning on Highway Driving
Jeff Kiske , Royce Cheng-Yue , Brody Huval , Mykhaylo Andriluka
arXiv: Robotics
771
2015
End-to-end text recognition with convolutional neural networks
Andrew Y. Ng , Adam Coates , David J. Wu , Tao Wang
international conference on pattern recognition 3304 -3308
1,113
2012
Latent dirichlet allocation
David M Blei , Andrew Y Ng , Michael I Jordan ,
Journal of Machine Learning Research 3 993 -1022
45,472
2003
Semantic Compositionality through Recursive Matrix-Vector Spaces
Brody Huval , Richard Socher , Andrew Y. Ng , Christopher D. Manning
empirical methods in natural language processing 1201 -1211
2012
Deep Speech: Scaling up end-to-end speech recognition
Awni Y. Hannun , Andrew Y. Ng , Sanjeev Satheesh , Jared Casper
arXiv: Computation and Language
2,150
2014
Online Bounds for Bayesian Algorithms
Sham M Kakade , Andrew Y. Ng
neural information processing systems 17 641 -648
38
2004
Stable adaptive control with online learning
Andrew Y. Ng , H. J. Kim
neural information processing systems 17 977 -984
15
2004
On optimization methods for deep learning
Andrew Y. Ng , Jiquan Ngiam , Adam Coates , Quoc V. Le
international conference on machine learning 265 -272
1,191
2011
Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection
Richard Socher , Andrew Y. Ng , Eric H. Huang , Christopher D Manning
neural information processing systems 24 801 -809
1,088
2011
Deep Learning of Invariant Features via Simulated Fixations in Video
Shenghuo Zhu , Will Zou , Andrew Y. Ng , Kai Yu
neural information processing systems 25 3203 -3211
189
2012
Emergence of Object-Selective Features in Unsupervised Feature Learning
Andrej Karpathy , Andrew Y. Ng , Adam Coates
neural information processing systems 25 2681 -2689
47
2012
Hierarchical Apprenticeship Learning with Application to Quadruped Locomotion
Pieter Abbeel , Andrew Y. Ng , J. Z. Kolter
neural information processing systems 20 769 -776
117
2007
Measuring Invariances in Deep Networks
Ian Goodfellow , Honglak Lee , Quoc Le , Andrew Saxe
neural information processing systems 22 646 -654
526
2009
Selecting Receptive Fields in Deep Networks
Andrew Y. Ng , Adam Coates
neural information processing systems 24 2528 -2536
140
2011
Unsupervised feature learning for audio classification using convolutional deep belief networks
Andrew Y. Ng , Honglak Lee , Peter Pham , Yan Largman
neural information processing systems 22 1096 -1104
1,472
2009
Unsupervised learning models of primary cortical receptive fields and receptive field plasticity
Andrew Saxe , Maneesh Bhand , Andrew Y. Ng , Bipin Suresh
neural information processing systems 24 1971 -1979
37
2011
Map-Reduce for Machine Learning on Multicore
Cheng-tao Chu , Sang Kim , Yi-An Lin , YuanYuan Yu
neural information processing systems 19 281 -288
1,143
2006
Convolutional-Recursive Deep Learning for 3D Object Classification
Brody Huval , Richard Socher , Andrew Y. Ng , Christopher D Manning
neural information processing systems 25 656 -664
787
2012