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Score Function Features for Discriminative Learning

Score Function Features for Discriminative Learning

19 December 2014
Majid Janzamin
Hanie Sedghi
Anima Anandkumar
ArXivPDFHTML

Papers citing "Score Function Features for Discriminative Learning"

22 / 22 papers shown
Title
ISLET: Fast and Optimal Low-rank Tensor Regression via Importance
  Sketching
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
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
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?
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
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
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-$1$
  Updates
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
107
131
0
21 Feb 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
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
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
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
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
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
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
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
Parametric Stein operators and variance bounds
Christophe Ley
Yvik Swan
41
23
0
22 May 2013
Zero-Shot Learning Through Cross-Modal Transfer
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
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
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
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
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
Interpretation and Generalization of Score Matching
Siwei Lyu
75
143
0
09 May 2012
Supervised Dictionary Learning
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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