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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 / 786 papers shown
Title
Deep Learning for Cardiologist-level Myocardial Infarction Detection in
  Electrocardiograms
Deep Learning for Cardiologist-level Myocardial Infarction Detection in Electrocardiograms
Arjun Gupta
Eliu A. Huerta
Zhizhen Zhao
I. Moussa
21
27
0
16 Dec 2019
Theory of neuromorphic computing by waves: machine learning by rogue
  waves, dispersive shocks, and solitons
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons
G. Marcucci
D. Pierangeli
Claudio Conti
24
111
0
15 Dec 2019
Does AlphaGo actually play Go? Concerning the State Space of Artificial
  Intelligence
Does AlphaGo actually play Go? Concerning the State Space of Artificial Intelligence
H. Lyre
13
0
0
13 Dec 2019
A recipe for creating ideal hybrid memristive-CMOS neuromorphic
  computing systems
A recipe for creating ideal hybrid memristive-CMOS neuromorphic computing systems
Elisabetta Chicca
Giacomo Indiveri
35
67
0
11 Dec 2019
Array Languages Make Neural Networks Fast
Array Languages Make Neural Networks Fast
Artjoms Šinkarovs
Hans-Nikolai Vießmann
S. Scholz
25
5
0
11 Dec 2019
Towards Explainable Deep Neural Networks (xDNN)
Towards Explainable Deep Neural Networks (xDNN)
Plamen Angelov
Eduardo Soares
AAML
30
256
0
05 Dec 2019
Biometrics Recognition Using Deep Learning: A Survey
Biometrics Recognition Using Deep Learning: A Survey
Shervin Minaee
AmirAli Abdolrashidi
Hang Su
Bennamoun
David C. Zhang
29
84
0
30 Nov 2019
Financial Time Series Forecasting with Deep Learning : A Systematic
  Literature Review: 2005-2019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019
Omer Berat Sezer
M. U. Gudelek
A. Ozbayoglu
AI4TS
38
995
0
29 Nov 2019
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA,
  LSTM, and BiLSTM
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
Sima Siami‐Namini
Neda Tavakoli
A. Namin
AI4TS
11
100
0
21 Nov 2019
An Efficient Hardware-Oriented Dropout Algorithm
An Efficient Hardware-Oriented Dropout Algorithm
Y. J. Yeoh
Takashi Morie
H. Tamukoh
13
2
0
14 Nov 2019
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial
  Intelligent Diagnosis
WaveletKernelNet: An Interpretable Deep Neural Network for Industrial Intelligent Diagnosis
Tianfu Li
Zhibin Zhao
Chuang Sun
Li Cheng
Xuefeng Chen
Ruqaing Yan
Ruize Gao
27
316
0
12 Nov 2019
Machine Learning Techniques for Biomedical Image Segmentation: An
  Overview of Technical Aspects and Introduction to State-of-Art Applications
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications
Hyunseok Seo
M. B. Khuzani
V. Vasudevan
Charles Huang
Hongyi Ren
Ruoxiu Xiao
Xiao Jia
Lei Xing
VLM
24
218
0
06 Nov 2019
Semantic Segmentation of Skin Lesions using a Small Data Set
Semantic Segmentation of Skin Lesions using a Small Data Set
B. Sirmaçek
M.P.W. Kivits
SSeg
28
4
0
23 Oct 2019
S4NN: temporal backpropagation for spiking neural networks with one
  spike per neuron
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron
Saeed Reza Kheradpisheh
T. Masquelier
27
187
0
21 Oct 2019
Isolation and Localization of Unknown Faults Using Neural Network-Based
  Residuals
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals
Daniel E. Jung
11
12
0
12 Oct 2019
Solving Optical Tomography with Deep Learning
Solving Optical Tomography with Deep Learning
Yuwei Fan
Lexing Ying
26
15
0
10 Oct 2019
Deep learning tools for the measurement of animal behavior in
  neuroscience
Deep learning tools for the measurement of animal behavior in neuroscience
Mackenzie W. Mathis
Alexander Mathis
3DV
VLM
33
311
0
30 Sep 2019
Decision Explanation and Feature Importance for Invertible Networks
Decision Explanation and Feature Importance for Invertible Networks
Juntang Zhuang
Nicha Dvornek
Xiaoxiao Li
Junlin Yang
James S. Duncan
AAML
FAtt
33
5
0
30 Sep 2019
GACNN: Training Deep Convolutional Neural Networks with Genetic
  Algorithm
GACNN: Training Deep Convolutional Neural Networks with Genetic Algorithm
P. Esfahanian
M. Akhavan
12
19
0
29 Sep 2019
Sequential Training of Neural Networks with Gradient Boosting
Sequential Training of Neural Networks with Gradient Boosting
S. Emami
Gonzalo Martýnez-Muñoz
ODL
21
19
0
26 Sep 2019
Explaining and Interpreting LSTMs
Explaining and Interpreting LSTMs
L. Arras
Jose A. Arjona-Medina
Michael Widrich
G. Montavon
Michael Gillhofer
K. Müller
Sepp Hochreiter
Wojciech Samek
FAtt
AI4TS
21
79
0
25 Sep 2019
Learning in the Machine: To Share or Not to Share?
Learning in the Machine: To Share or Not to Share?
J. Ott
Erik J. Linstead
Nicholas LaHaye
Pierre Baldi
21
16
0
23 Sep 2019
Swapped Face Detection using Deep Learning and Subjective Assessment
Swapped Face Detection using Deep Learning and Subjective Assessment
Xinyi Ding
Zohreh Raziei
Eric C. Larson
E. Olinick
P. Krueger
Michael Hahsler
PICV
CVBM
34
65
0
10 Sep 2019
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR
  Image Reconstruction
Denoising Auto-encoding Priors in Undecimated Wavelet Domain for MR Image Reconstruction
Siyuan Wang
Junjie Lv
Yuanyuan Hu
Dong Liang
Minghui Zhang
Qiegen Liu
MedIm
28
15
0
03 Sep 2019
Survey on Deep Neural Networks in Speech and Vision Systems
Survey on Deep Neural Networks in Speech and Vision Systems
M. Alam
Manar D. Samad
Lasitha Vidyaratne
Alexander M. Glandon
Khan M. Iftekharuddin
3DV
VLM
AI4TS
34
205
0
16 Aug 2019
Local Differential Privacy for Deep Learning
Local Differential Privacy for Deep Learning
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
Dongxi Liu
S. Çamtepe
Mohammed Atiquzzaman
41
220
0
08 Aug 2019
Incremental Reinforcement Learning --- a New Continuous Reinforcement
  Learning Frame Based on Stochastic Differential Equation methods
Incremental Reinforcement Learning --- a New Continuous Reinforcement Learning Frame Based on Stochastic Differential Equation methods
Tianhao Chen
Limei Cheng
Yang Liu
Wenchuan Jia
Shugen Ma
11
4
0
08 Aug 2019
Explaining Convolutional Neural Networks using Softmax Gradient
  Layer-wise Relevance Propagation
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana
Ryohei Kuroki
S. Uchida
FAtt
35
95
0
06 Aug 2019
Efficient training and design of photonic neural network through
  neuroevolution
Efficient training and design of photonic neural network through neuroevolution
Tian Zhang
Jia Wang
Yihang Dan
Yuxiang Lanqiu
Jian Dai
Xu Han
Xiaojuan Sun
Kun Xu
29
50
0
04 Aug 2019
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks
Simon Wiedemann
H. Kirchhoffer
Stefan Matlage
Paul Haase
Arturo Marbán
...
Ahmed Osman
D. Marpe
H. Schwarz
Thomas Wiegand
Wojciech Samek
54
93
0
27 Jul 2019
Automatically Learning Construction Injury Precursors from Text
Automatically Learning Construction Injury Precursors from Text
Henrietta Baker
Matthew R. Hallowell
A. Tixier
44
101
0
26 Jul 2019
A Sufficient Statistic for Influence in Structured Multiagent
  Environments
A Sufficient Statistic for Influence in Structured Multiagent Environments
F. Oliehoek
Stefan J. Witwicki
L. Kaelbling
23
23
0
22 Jul 2019
ImageNet-trained deep neural network exhibits illusion-like response to
  the Scintillating Grid
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid
Eric Sun
Ron Dekel
25
4
0
21 Jul 2019
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
Xiaofei Wang
Yiwen Han
Victor C. M. Leung
Dusit Niyato
Xueqiang Yan
Xu Chen
22
978
0
19 Jul 2019
Modern CNNs for IoT Based Farms
Modern CNNs for IoT Based Farms
P. Gikunda
25
5
0
15 Jul 2019
Dreaming machine learning: Lipschitz extensions for reinforcement
  learning on financial markets
Dreaming machine learning: Lipschitz extensions for reinforcement learning on financial markets
J. Calabuig
H. Falciani
E. A. Sánchez-Pérez
23
26
0
09 Jul 2019
Artificial Intelligence: A Child's Play
Artificial Intelligence: A Child's Play
R. Kashyap
11
10
0
01 Jul 2019
A shallow residual neural network to predict the visual cortex response
A shallow residual neural network to predict the visual cortex response
Anne-Ruth Meijer
Arnoud Visser
FAtt
11
2
0
27 Jun 2019
A Review on Neural Network Models of Schizophrenia and Autism Spectrum
  Disorder
A Review on Neural Network Models of Schizophrenia and Autism Spectrum Disorder
Pablo Lanillos
D. Oliva
A. Philippsen
Yuichi Yamashita
Y. Nagai
G. Cheng
20
120
0
24 Jun 2019
Compositionally-Warped Gaussian Processes
Compositionally-Warped Gaussian Processes
Gonzalo Rios
Felipe A. Tobar
27
41
0
23 Jun 2019
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning
  Methods for Urban Healthcare in Smart Cities
Detection of Myocardial Infarction Based on Novel Deep Transfer Learning Methods for Urban Healthcare in Smart Cities
A. Alghamdi
Mohamed Hammad
H. Ugail
Asmaa Abdel-Raheem
Khan Muhammad
Hany S. Khalifa
A. A. Abd El-Latif
22
114
0
22 Jun 2019
Database Meets Deep Learning: Challenges and Opportunities
Database Meets Deep Learning: Challenges and Opportunities
Wei Wang
Meihui Zhang
Gang Chen
H. V. Jagadish
Beng Chin Ooi
K. Tan
21
147
0
21 Jun 2019
Automatic estimation of heading date of paddy rice using deep learning
Automatic estimation of heading date of paddy rice using deep learning
Sai Vikas Desai
V. Balasubramanian
T. Fukatsu
S. Ninomiya
Wei Guo
19
72
0
19 Jun 2019
Meta-learning Pseudo-differential Operators with Deep Neural Networks
Meta-learning Pseudo-differential Operators with Deep Neural Networks
Jordi Feliu-Fabà
Yuwei Fan
Lexing Ying
22
39
0
16 Jun 2019
Generative Adversarial Networks are Special Cases of Artificial
  Curiosity (1990) and also Closely Related to Predictability Minimization
  (1991)
Generative Adversarial Networks are Special Cases of Artificial Curiosity (1990) and also Closely Related to Predictability Minimization (1991)
J. Schmidhuber
GAN
DRL
33
57
0
11 Jun 2019
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic
  Segmentation
Movable-Object-Aware Visual SLAM via Weakly Supervised Semantic Segmentation
Ting Sun
Yuxiang Sun
Ming-Yu Liu
Dit-Yan Yeung
25
15
0
09 Jun 2019
Solving Electrical Impedance Tomography with Deep Learning
Solving Electrical Impedance Tomography with Deep Learning
Yuwei Fan
Lexing Ying
30
100
0
06 Jun 2019
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised
  Cross-View Person Re-identification
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification
Chengyuan Zhang
Lei Zhu
Shichao Zhang
GAN
31
31
0
05 Jun 2019
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and
  Classifying Image Data
Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data
Hananel Hazan
D. J. Saunders
Darpan T. Sanghavi
H. Siegelmann
R. Kozma
8
17
0
04 Jun 2019
Transfer Learning with intelligent training data selection for
  prediction of Alzheimer's Disease
Transfer Learning with intelligent training data selection for prediction of Alzheimer's Disease
N. Khan
Marcia Hon
Nabila Abraham
14
128
0
04 Jun 2019
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