ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning

Andrew Y. Ng , Jiquan Ngiam , Quoc V. Le , Alexandre Karpenko
neural information processing systems 24 1017 -1025

398
2011
Learning Word Vectors for Sentiment Analysis

Andrew Y. Ng , Christopher Potts , Andrew L. Maas , Dan Huang
meeting of the association for computational linguistics 142 -150

4,353
2011
Transfer learning for text classification

Andrew Y. Ng , Chuong B. Do
neural information processing systems 18 299 -306

267
2005
Efficient sparse coding algorithms

Alexis Battle , Andrew Y. Ng , Honglak Lee , Rajat Raina
neural information processing systems 19 801 -808

1,998
2006
Fast Gaussian Process Regression using KD-Trees

Yirong Shen , Andrew Y. Ng , Matthias Seeger
neural information processing systems 18 1225 -1232

149
2005
Distance Metric Learning with Application to Clustering with Side-Information

Eric Xing , Michael Jordan , Stuart J Russell , Andrew Ng
neural information processing systems 15 521 -528

3,830
2002
An analysis of single-layer networks in unsupervised feature learning

Andrew Y. Ng , Honglak Lee , Adam Coates
international conference on artificial intelligence and statistics 15 215 -223

3,558
2011
Robotic Grasping of Novel Objects

Andrew Y. Ng , Ashutosh Saxena , Justin Driemeyer , Justin Kearns
neural information processing systems 19 1209 -1216

206
2006
Sparse deep belief net model for visual area V2

Chaitanya Ekanadham , Andrew Y. Ng , Honglak Lee
neural information processing systems 20 873 -880

1,305
2007
Learning first-order Markov models for control

Pieter Abbeel , Andrew Y. Ng
neural information processing systems 17 1 -8

44
2004
Learning Syntactic Patterns for Automatic Hypernym Discovery

Daniel Jurafsky , Andrew Y. Ng , Rion Snow
neural information processing systems 17 1297 -1304

636
2004
Learning Factor Graphs in Polynomial Time and Sample Complexity

Pieter Abbeel , Andrew Y. Ng , Daphne Koller
Journal of Machine Learning Research 7 ( 64) 1743 -1788

149
2006
Tiled convolutional neural networks

Andrew Y. Ng , Jiquan Ngiam , Quoc V. Le , Zhenghao Chen
neural information processing systems 23 1279 -1287

408
2010
Learning Depth from Single Monocular Images

Andrew Y. Ng , Ashutosh Saxena , Sung H. Chung
neural information processing systems 18 1161 -1168

1,293
2005
Efficient multiple hyperparameter learning for log-linear models

Andrew Y. Ng , Chuong B. Do , Chuan-sheng Foo
neural information processing systems 20 377 -384

78
2007
Approximate Planning in Large POMDPs via Reusable Trajectories

Yishay Mansour , Andrew Y. Ng , Michael J. Kearns
neural information processing systems 12 1001 -1007

141
1999
Policy Search via Density Estimation

Andrew Y. Ng , Daphne Koller , Ronald Parr
neural information processing systems 12 1022 -1028

32
1999
On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes

Andrew Ng , Michael Jordan ,
neural information processing systems 14 841 -848

3,306
2001
Approximate Inference A lgorithms for Two-Layer Bayesian Networks

Andrew Ng , Michael Jordan ,
neural information processing systems 12 533 -539

13
1999
Policy Search by Dynamic Programming

Sham M Kakade , J. A. Bagnell , Andrew Y. Ng , Jeff G. Schneider
neural information processing systems 16 831 -838

133
2003