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Deep Learning in Neural Networks: An Overview

Deep Learning in Neural Networks: An Overview

30 April 2014
Jürgen Schmidhuber
    HAI
ArXivPDFHTML

Papers citing "Deep Learning in Neural Networks: An Overview"

26 / 776 papers shown
Title
Recurrent Neural Networks Hardware Implementation on FPGA
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang
B. Martini
Eugenio Culurciello
27
126
0
17 Nov 2015
Postprocessing of Compressed Images via Sequential Denoising
Postprocessing of Compressed Images via Sequential Denoising
Yehuda Dar
A. Bruckstein
Michael Elad
Raja Giryes
18
74
0
30 Oct 2015
Learning Summary Statistic for Approximate Bayesian Computation via Deep
  Neural Network
Learning Summary Statistic for Approximate Bayesian Computation via Deep Neural Network
Bai Jiang
Tung-Yu Wu
Charles Yang Zheng
W. Wong
BDL
33
140
0
08 Oct 2015
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
33
19
0
25 Sep 2015
Some Theorems for Feed Forward Neural Networks
Some Theorems for Feed Forward Neural Networks
K. Eswaran
Vishwajeet Singh
14
6
0
17 Sep 2015
The SP theory of intelligence: distinctive features and advantages
The SP theory of intelligence: distinctive features and advantages
J. G. Wolff
27
31
0
17 Aug 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
33
175
0
17 Aug 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
28
851
0
31 Jul 2015
Invariant Models for Causal Transfer Learning
Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla
Bernhard Schölkopf
Richard Turner
J. Peters
OOD
29
23
0
19 Jul 2015
Memory and information processing in neuromorphic systems
Memory and information processing in neuromorphic systems
Giacomo Indiveri
Shih-Chii Liu
180
572
0
10 Jun 2015
Visualizing and Understanding Recurrent Networks
Visualizing and Understanding Recurrent Networks
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
52
1,096
0
05 Jun 2015
Robust Optimization for Deep Regression
Robust Optimization for Deep Regression
Vasileios Belagiannis
Christian Rupprecht
G. Carneiro
Nassir Navab
3DH
37
180
0
25 May 2015
Recurrent Neural Network Training with Dark Knowledge Transfer
Recurrent Neural Network Training with Dark Knowledge Transfer
Zhiyuan Tang
Dong Wang
Zhiyong Zhang
27
109
0
18 May 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
43
187
0
30 Apr 2015
Computational Cost Reduction in Learned Transform Classifications
Computational Cost Reduction in Learned Transform Classifications
E. Machado
C. Miosso
R. V. Borries
Murilo Coutinho
P. Berger
Thiago Marques
R. Jacobi
38
3
0
26 Apr 2015
Enhanced Image Classification With a Fast-Learning Shallow Convolutional
  Neural Network
Enhanced Image Classification With a Fast-Learning Shallow Convolutional Neural Network
Mark D Mcdonnell
Tony Vladusich
29
84
0
16 Mar 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
L. Yao
Atousa Torabi
Kyunghyun Cho
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
61
1,062
0
27 Feb 2015
Hands Deep in Deep Learning for Hand Pose Estimation
Hands Deep in Deep Learning for Hand Pose Estimation
Markus Oberweger
Paul Wohlhart
Vincent Lepetit
3DH
23
370
0
24 Feb 2015
Rectified Factor Networks
Rectified Factor Networks
Djork-Arné Clevert
Andreas Mayr
Thomas Unterthiner
Sepp Hochreiter
28
16
0
23 Feb 2015
Automatic differentiation in machine learning: a survey
Automatic differentiation in machine learning: a survey
A. G. Baydin
Barak A. Pearlmutter
Alexey Radul
J. Siskind
PINN
AI4CE
ODL
75
2,751
0
20 Feb 2015
Towards Building Deep Networks with Bayesian Factor Graphs
Towards Building Deep Networks with Bayesian Factor Graphs
A. Buonanno
F. Palmieri
AI4CE
21
5
0
16 Feb 2015
From neural PCA to deep unsupervised learning
From neural PCA to deep unsupervised learning
Harri Valpola
BDL
41
184
0
28 Nov 2014
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular
  Object Recognition
Maximum Likelihood Directed Enumeration Method in Piecewise-Regular Object Recognition
Andrey V. Savchenko
22
28
0
20 Nov 2014
Deep Networks with Internal Selective Attention through Feedback
  Connections
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F. Stollenga
Jonathan Masci
Faustino J. Gomez
Jürgen Schmidhuber
63
257
0
11 Jul 2014
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Fast Image Scanning with Deep Max-Pooling Convolutional Neural Networks
Alessandro Giusti
D. Ciresan
Jonathan Masci
L. Gambardella
Jürgen Schmidhuber
151
348
0
07 Feb 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,639
0
03 Jul 2012
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