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Provable Methods for Training Neural Networks with Sparse Connectivity

Provable Methods for Training Neural Networks with Sparse Connectivity

8 December 2014
Hanie Sedghi
Anima Anandkumar
ArXivPDFHTML

Papers citing "Provable Methods for Training Neural Networks with Sparse Connectivity"

11 / 11 papers shown
Title
Sparse Activity and Sparse Connectivity in Supervised Learning
Sparse Activity and Sparse Connectivity in Supervised Learning
Markus Thom
G. Palm
85
49
0
28 Mar 2016
Dictionary Learning with Few Samples and Matrix Concentration
Dictionary Learning with Few Samples and Matrix Concentration
K. Luh
V. Vu
29
17
0
30 Mar 2015
Score Function Features for Discriminative Learning
Score Function Features for Discriminative Learning
Majid Janzamin
Hanie Sedghi
Anima Anandkumar
53
43
0
19 Dec 2014
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
66
15
0
09 Dec 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
35
45
0
20 Apr 2014
Low-Rank Approximations for Conditional Feedforward Computation in Deep
  Neural Networks
Low-Rank Approximations for Conditional Feedforward Computation in Deep Neural Networks
Andrew S. Davis
I. Arel
59
78
0
16 Dec 2013
Learning Mixtures of Linear Classifiers
Learning Mixtures of Linear Classifiers
Yuekai Sun
Stratis Ioannidis
Andrea Montanari
44
22
0
11 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
54
333
0
23 Oct 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
39
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
240
1,142
0
29 Oct 2012
Learning Topic Models and Latent Bayesian Networks Under Expansion
  Constraints
Learning Topic Models and Latent Bayesian Networks Under Expansion Constraints
Anima Anandkumar
Daniel J. Hsu
Adel Javanmard
Sham Kakade
122
8
0
24 Sep 2012
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