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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"

50 / 776 papers shown
Title
Metaheuristic Design of Feedforward Neural Networks: A Review of Two
  Decades of Research
Metaheuristic Design of Feedforward Neural Networks: A Review of Two Decades of Research
Varun Ojha
Ajith Abraham
V. Snás̃el
15
491
0
16 May 2017
Phase recovery and holographic image reconstruction using deep learning
  in neural networks
Phase recovery and holographic image reconstruction using deep learning in neural networks
Y. Rivenson
Yibo Zhang
H. Gunaydin
Da Teng
Aydogan Ozcan
13
815
0
10 May 2017
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
ChineseFoodNet: A large-scale Image Dataset for Chinese Food Recognition
Xin Chen
Yu Zhu
Huan Zhou
Liang Diao
Dongyan Wang
29
104
0
08 May 2017
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks
Rüdiger Ehlers
26
622
0
03 May 2017
Deep Learning in the Automotive Industry: Applications and Tools
Deep Learning in the Automotive Industry: Applications and Tools
André Luckow
M. Cook
Nathan Ashcraft
Edwin Weill
Emil Djerekarov
Bennie Vorster
25
116
0
30 Apr 2017
A New Type of Neurons for Machine Learning
A New Type of Neurons for Machine Learning
Fenglei Fan
W. Cong
Ge Wang
22
69
0
26 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation
  in Histopathology Images
Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images
L. Hou
Vu Nguyen
Dimitris Samaras
Tahsin M. Kurc
Yi Gao
Tianhao Zhao
Joel H. Saltz
MedIm
35
143
0
03 Apr 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level
  Coordination in Learning to Play StarCraft Combat Games
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng
Ying Wen
Yaodong Yang
Quan Yuan
Zhenkun Tang
Haitao Long
Jun Wang
35
333
0
29 Mar 2017
Classifying Symmetrical Differences and Temporal Change in Mammography
  Using Deep Neural Networks
Classifying Symmetrical Differences and Temporal Change in Mammography Using Deep Neural Networks
Thijs Kooi
N. Karssemeijer
31
48
0
22 Mar 2017
SMILES Enumeration as Data Augmentation for Neural Network Modeling of
  Molecules
SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules
E. Bjerrum
38
295
0
21 Mar 2017
Autoregressive Convolutional Neural Networks for Asynchronous Time
  Series
Autoregressive Convolutional Neural Networks for Asynchronous Time Series
Mikolaj Binkowski
Gautier Marti
Philippe Donnat
AI4TS
BDL
43
149
0
12 Mar 2017
Deep Reservoir Computing Using Cellular Automata
Deep Reservoir Computing Using Cellular Automata
Stefano Nichele
Andreas Molund
22
27
0
08 Mar 2017
Deep Learning for Automated Quality Assessment of Color Fundus Images in
  Diabetic Retinopathy Screening
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening
Sajib Saha
Basura Fernando
Jorge A Cuadros
D. Xiao
Y. Kanagasingam
MedIm
12
10
0
07 Mar 2017
Attentive Recurrent Comparators
Attentive Recurrent Comparators
Pranav Shyam
Shubham Gupta
Ambedkar Dukkipati
VLM
22
108
0
02 Mar 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
260
1,789
0
02 Mar 2017
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
25
196
0
01 Mar 2017
CHAOS: A Parallelization Scheme for Training Convolutional Neural
  Networks on Intel Xeon Phi
CHAOS: A Parallelization Scheme for Training Convolutional Neural Networks on Intel Xeon Phi
Andre Viebke
Suejb Memeti
Sabri Pllana
Ajith Abraham
40
25
0
25 Feb 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm
3DV
VLM
48
223
0
24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
58
1,378
0
24 Feb 2017
On the ability of neural nets to express distributions
On the ability of neural nets to express distributions
Holden Lee
Rong Ge
Tengyu Ma
Andrej Risteski
Sanjeev Arora
BDL
26
84
0
22 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
343
10,639
0
19 Feb 2017
A Random Matrix Approach to Neural Networks
A Random Matrix Approach to Neural Networks
Cosme Louart
Zhenyu Liao
Romain Couillet
19
160
0
17 Feb 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
Ryo Takahashi
Takashi Matsubara
K. Uehara
OOD
30
21
0
12 Feb 2017
Eye-Movement behavior identification for AD diagnosis
Eye-Movement behavior identification for AD diagnosis
Juan Biondi
G. Fernández
S. Castro
Osvaldo Agamennoni
16
25
0
02 Feb 2017
Symbolic, Distributed and Distributional Representations for Natural
  Language Processing in the Era of Deep Learning: a Survey
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
L. Ferrone
Fabio Massimo Zanzotto
39
37
0
02 Feb 2017
Procedural Content Generation via Machine Learning (PCGML)
Procedural Content Generation via Machine Learning (PCGML)
A. Summerville
Sam Snodgrass
Matthew J. Guzdial
Christoffer Holmgård
Amy K. Hoover
Aaron Isaksen
Andy Nealen
Julian Togelius
3DV
40
385
0
02 Feb 2017
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis
PCA-Initialized Deep Neural Networks Applied To Document Image Analysis
Mathias Seuret
Michele Alberti
Rolf Ingold
Marcus Liwicki
ODL
27
54
0
01 Feb 2017
Source localization in an ocean waveguide using supervised machine
  learning
Source localization in an ocean waveguide using supervised machine learning
Haiqiang Niu
Emma Reeves
Peter Gerstoft
13
163
0
29 Jan 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRL
VLM
104
1,503
0
25 Jan 2017
Deep Learning for Time-Series Analysis
Deep Learning for Time-Series Analysis
J. Gamboa
AI4TS
24
439
0
07 Jan 2017
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
Deep Neural Networks to Enable Real-time Multimessenger Astrophysics
D. George
Eliu A. Huerta
28
201
0
30 Dec 2016
Counterfactual Prediction with Deep Instrumental Variables Networks
Counterfactual Prediction with Deep Instrumental Variables Networks
Jason S. Hartford
Greg Lewis
Kevin Leyton-Brown
Matt Taddy
CML
OOD
16
49
0
30 Dec 2016
Globally Optimal Object Tracking with Fully Convolutional Networks
Globally Optimal Object Tracking with Fully Convolutional Networks
Jinho Lee
Brian Kenji Iwana
Shouta Ide
S. Uchida
21
4
0
25 Dec 2016
Highway and Residual Networks learn Unrolled Iterative Estimation
Highway and Residual Networks learn Unrolled Iterative Estimation
Klaus Greff
R. Srivastava
Jürgen Schmidhuber
AI4TS
29
214
0
22 Dec 2016
Microstructure Representation and Reconstruction of Heterogeneous
  Materials via Deep Belief Network for Computational Material Design
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design
Ruijin Cang
Yaopengxiao Xu
Shaohua Chen
Yongming Liu
Yang Jiao
Max Yi Ren
AI4CE
3DV
27
156
0
22 Dec 2016
Real-time interactive sequence generation and control with Recurrent
  Neural Network ensembles
Real-time interactive sequence generation and control with Recurrent Neural Network ensembles
Memo Akten
M. Grierson
16
4
0
14 Dec 2016
Predicting Process Behaviour using Deep Learning
Predicting Process Behaviour using Deep Learning
Joerg Evermann
Jana-Rebecca Rehse
Peter Fettke
34
352
0
14 Dec 2016
Memcomputing Numerical Inversion with Self-Organizing Logic Gates
Memcomputing Numerical Inversion with Self-Organizing Logic Gates
Haik Manukian
F. Traversa
M. Di Ventra
16
10
0
13 Dec 2016
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech
Gated Recurrent Unit (GRU) for Emotion Classification from Noisy Speech
R. Rana
27
106
0
13 Dec 2016
Neurogenesis Deep Learning
Neurogenesis Deep Learning
T. Draelos
N. Miner
Christopher C. Lamb
Jonathan A. Cox
C. Vineyard
Kristofor D. Carlson
William M. Severa
C. James
J. Aimone
26
96
0
12 Dec 2016
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Yaman Umuroglu
Nicholas J. Fraser
Giulio Gambardella
Michaela Blott
Philip H. W. Leong
Magnus Jahre
K. Vissers
MQ
53
983
0
01 Dec 2016
On the Role and the Importance of Features for Background Modeling and
  Foreground Detection
On the Role and the Importance of Features for Background Modeling and Foreground Detection
T. Bouwmans
Caroline Silva
C. Marghes
M. S. Zitouni
H. Bhaskar
C. Frélicot
33
108
0
28 Nov 2016
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
39
26
0
28 Nov 2016
An Overview on Data Representation Learning: From Traditional Feature
  Learning to Recent Deep Learning
An Overview on Data Representation Learning: From Traditional Feature Learning to Recent Deep Learning
G. Zhong
Lina Wang
Junyu Dong
AI4TS
41
180
0
25 Nov 2016
Dynamic Key-Value Memory Networks for Knowledge Tracing
Dynamic Key-Value Memory Networks for Knowledge Tracing
Jiani Zhang
Xingjian Shi
Irwin King
Dit-Yan Yeung
AI4Ed
KELM
29
602
0
24 Nov 2016
Local minima in training of neural networks
Local minima in training of neural networks
G. Swirszcz
Wojciech M. Czarnecki
Razvan Pascanu
ODL
37
73
0
19 Nov 2016
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise
  Sparse Coding and STDP Learning
Bio-Inspired Spiking Convolutional Neural Network using Layer-wise Sparse Coding and STDP Learning
A. Tavanaei
Anthony Maida
16
69
0
09 Nov 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with
  Nonlinear Spectral Methods
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods
A. Gautier
Quynh N. Nguyen
Matthias Hein
21
32
0
28 Oct 2016
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for
  Automated Detection of Lacunes of Presumed Vascular Origin
Deep Multi-scale Location-aware 3D Convolutional Neural Networks for Automated Detection of Lacunes of Presumed Vascular Origin
Mohsen Ghafoorian
N. Karssemeijer
Tom Heskes
M. Bergkamp
Joost Wissink
...
K. Keizer
F.‐E. Leeuw
Bram van Ginneken
E. Marchiori
B. Platel
MedIm
212
123
0
24 Oct 2016
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