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1412.6514
Cited By
Score Function Features for Discriminative Learning
19 December 2014
Majid Janzamin
Hanie Sedghi
Anima Anandkumar
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Papers citing
"Score Function Features for Discriminative Learning"
22 / 22 papers shown
Title
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance Sketching
Anru R. Zhang
Yuetian Luo
Garvesh Raskutti
M. Yuan
129
44
0
09 Nov 2019
Provable Tensor Methods for Learning Mixtures of Generalized Linear Models
Hanie Sedghi
Majid Janzamin
Anima Anandkumar
68
15
0
09 Dec 2014
Provable Methods for Training Neural Networks with Sparse Connectivity
Hanie Sedghi
Anima Anandkumar
57
64
0
08 Dec 2014
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
154
8,309
0
06 Nov 2014
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods
Anima Anandkumar
Rong Ge
Majid Janzamin
111
5
0
03 Aug 2014
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density
Hiroaki Sasaki
Aapo Hyvarinen
Masashi Sugiyama
45
45
0
20 Apr 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-
1
1
1
Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
107
131
0
21 Feb 2014
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
135
4,999
0
21 Dec 2013
Nonparametric Estimation of Multi-View Latent Variable Models
Le Song
Anima Anandkumar
Bo Dai
Bo Xie
43
44
0
13 Nov 2013
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
329
15,825
0
12 Nov 2013
Provable Bounds for Learning Some Deep Representations
Sanjeev Arora
Aditya Bhaskara
Rong Ge
Tengyu Ma
BDL
70
335
0
23 Oct 2013
Discriminative Features via Generalized Eigenvectors
Nikos Karampatziakis
Paul Mineiro
72
34
0
07 Oct 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
160
4,946
0
06 Oct 2013
New Algorithms for Learning Incoherent and Overcomplete Dictionaries
Sanjeev Arora
Rong Ge
Ankur Moitra
60
205
0
28 Aug 2013
Parametric Stein operators and variance bounds
Christophe Ley
Yvik Swan
41
23
0
22 May 2013
Zero-Shot Learning Through Cross-Modal Transfer
R. Socher
M. Ganjoo
Hamsa Sridhar
Osbert Bastani
Christopher D. Manning
A. Ng
BDL
VLM
106
1,467
0
16 Jan 2013
Efficient Learning of Domain-invariant Image Representations
Judy Hoffman
E. Rodner
Jeff Donahue
Trevor Darrell
Kate Saenko
OOD
66
295
0
15 Jan 2013
What Regularized Auto-Encoders Learn from the Data Generating Distribution
Guillaume Alain
Yoshua Bengio
OOD
DRL
54
500
0
18 Nov 2012
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
273
1,142
0
29 Oct 2012
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
184
12,384
0
24 Jun 2012
Interpretation and Generalization of Score Matching
Siwei Lyu
75
143
0
09 May 2012
Supervised Dictionary Learning
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
Andrew Zisserman
70
1,185
0
18 Sep 2008
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