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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
An Optical Frontend for a Convolutional Neural Network
An Optical Frontend for a Convolutional Neural Network
S. Colburn
Yiren Chu
Eli Shlizerman
A. Majumdar
27
89
0
23 Dec 2018
Iterative annotation to ease neural network training: Specialized
  machine learning in medical image analysis
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis
Brendon Lutnick
Brandon G. Ginley
D. Govind
S. McGarry
P. LaViolette
Rabi Yacoub
S. Jain
J. Tomaszewski
Kuang-Yu Jen
P. Sarder
11
120
0
18 Dec 2018
Can Deep Learning Predict Risky Retail Investors? A Case Study in
  Financial Risk Behavior Forecasting
Can Deep Learning Predict Risky Retail Investors? A Case Study in Financial Risk Behavior Forecasting
Yaodong Yang
A. Kolesnikova
Stefan Lessmann
Tiejun Ma
M. Sung
Johnnie E. V. Johnson
35
105
0
14 Dec 2018
Impact of Data Normalization on Deep Neural Network for Time Series
  Forecasting
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting
Samit Bhanja
Abhishek Das
AI4TS
4
90
0
13 Dec 2018
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Deep Air Quality Forecasting Using Hybrid Deep Learning Framework
Shengdong Du
Tianrui Li
Yan Yang
S. Horng
AI4TS
24
311
0
12 Dec 2018
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Carla Bertocchi
Émilie Chouzenoux
M. Corbineau
J. Pesquet
M. Prato
27
107
0
11 Dec 2018
A Survey on Artificial Intelligence Trends in Spacecraft Guidance
  Dynamics and Control
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control
Dario Izzo
Marcus Märtens
Binfeng Pan
AI4CE
27
207
0
07 Dec 2018
Prototype-based Neural Network Layers: Incorporating Vector Quantization
Prototype-based Neural Network Layers: Incorporating Vector Quantization
S. Saralajew
Lars Holdijk
Maike Rees
T. Villmann
MQ
25
15
0
04 Dec 2018
Protection Against Reconstruction and Its Applications in Private
  Federated Learning
Protection Against Reconstruction and Its Applications in Private Federated Learning
Abhishek Bhowmick
John C. Duchi
Julien Freudiger
Gaurav Kapoor
Ryan M. Rogers
FedML
27
357
0
03 Dec 2018
Customer Lifetime Value in Video Games Using Deep Learning and
  Parametric Models
Customer Lifetime Value in Video Games Using Deep Learning and Parametric Models
Pei Pei Chen
Anna Guitart
Ana Fernández del Río
África Periánez
29
48
0
28 Nov 2018
Noisy Computations during Inference: Harmful or Helpful?
Noisy Computations during Inference: Harmful or Helpful?
Minghai Qin
D. Vučinić
AAML
19
5
0
26 Nov 2018
GuacaMol: Benchmarking Models for De Novo Molecular Design
GuacaMol: Benchmarking Models for De Novo Molecular Design
Nathan Brown
Marco Fiscato
Marwin H. S. Segler
Alain C. Vaucher
ELM
46
696
0
22 Nov 2018
Machine learning enables polymer cloud-point engineering via inverse
  design
Machine learning enables polymer cloud-point engineering via inverse design
J. Kumar
Qianxiao Li
K. Y. Tang
Tonio Buonassisi
Anibal L. Gonzalez-Oyarce
J. Ye
33
66
0
21 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural
  Networks and Humans
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans
T. Ho-Phuoc
11
41
0
18 Nov 2018
QUENN: QUantization Engine for low-power Neural Networks
QUENN: QUantization Engine for low-power Neural Networks
Miguel de Prado
Maurizio Denna
Luca Benini
Nuria Pazos
MQ
37
14
0
14 Nov 2018
A Study of Language and Classifier-independent Feature Analysis for
  Vocal Emotion Recognition
A Study of Language and Classifier-independent Feature Analysis for Vocal Emotion Recognition
F. Noroozi
Marina Marjanovic
A. Njeguš
Sergio Escalera
G. Anbarjafari
11
6
0
14 Nov 2018
Controllability, Multiplexing, and Transfer Learning in Networks using
  Evolutionary Learning
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning
R. Ooi
Chao-Han Huck Yang
Pin-Yu Chen
V. Eguíluz
N. Kiani
Hector Zenil
D. Gómez-Cabrero
Jesper N. Tegnér
24
1
0
14 Nov 2018
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU
  Computers
YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers
J. Pedoeem
Rachel Huang
ObjD
15
498
0
14 Nov 2018
Data Driven Governing Equations Approximation Using Deep Neural Networks
Data Driven Governing Equations Approximation Using Deep Neural Networks
Tong Qin
Kailiang Wu
D. Xiu
PINN
34
270
0
13 Nov 2018
Semi-supervised Deep Representation Learning for Multi-View Problems
Semi-supervised Deep Representation Learning for Multi-View Problems
Vahid Noroozi
S. Bahaadini
Lei Zheng
Sihong Xie
Weixiang Shao
Philip S. Yu
30
16
0
11 Nov 2018
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
K. Chahal
Manraj Singh Grover
Kuntal Dey
3DH
OOD
6
53
0
28 Oct 2018
Fruit and Vegetable Identification Using Machine Learning for Retail
  Applications
Fruit and Vegetable Identification Using Machine Learning for Retail Applications
Frida Femling
Adam Olsson
F. Alonso-Fernandez
14
65
0
23 Oct 2018
Ordered Neurons: Integrating Tree Structures into Recurrent Neural
  Networks
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Songlin Yang
Shawn Tan
Alessandro Sordoni
Aaron Courville
32
323
0
22 Oct 2018
BCR-Net: a neural network based on the nonstandard wavelet form
BCR-Net: a neural network based on the nonstandard wavelet form
Yuwei Fan
Cindy Orozco Bohorquez
Lexing Ying
15
47
0
20 Oct 2018
Improving Data Quality through Deep Learning and Statistical Models
Improving Data Quality through Deep Learning and Statistical Models
Wei Dai
K. Yoshigoe
William Parsley
14
32
0
16 Oct 2018
Stop Illegal Comments: A Multi-Task Deep Learning Approach
Stop Illegal Comments: A Multi-Task Deep Learning Approach
Ahmed Elnaggar
Bernhard Waltl
Ingo Glaser
Jörg Landthaler
Elena Scepankova
Florian Matthes
AILaw
17
15
0
15 Oct 2018
A Model for Auto-Programming for General Purposes
A Model for Auto-Programming for General Purposes
J. Weng
19
6
0
12 Oct 2018
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
48
553
0
12 Oct 2018
Hartley Spectral Pooling for Deep Learning
Hartley Spectral Pooling for Deep Learning
Huatian Zhang
Jianwei Ma
25
24
0
07 Oct 2018
Analysis of Diffractive Optical Neural Networks and Their Integration
  with Electronic Neural Networks
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks
Deniz Mengu
Yilin Luo
Y. Rivenson
Aydogan Ozcan
31
149
0
03 Oct 2018
The Optimal ANN Model for Predicting Bearing Capacity of Shallow
  Foundations Trained on Scarce Data
The Optimal ANN Model for Predicting Bearing Capacity of Shallow Foundations Trained on Scarce Data
Marta Baginska
P. Srokosz
AI4CE
23
33
0
22 Sep 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural
  Networks against Adversarial Malware Samples
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Deqiang Li
Ramesh Baral
Tao Li
Han Wang
Qianmu Li
Shouhuai Xu
AAML
28
21
0
18 Sep 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for
  High-Accuracy Text Categorization with Medical Applications
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications
G. T. Berge
Ole-Christoffer Granmo
Tor Tveit
Morten Goodwin
Lei Jiao
B. Matheussen
VLM
33
75
0
12 Sep 2018
A proof that artificial neural networks overcome the curse of
  dimensionality in the numerical approximation of Black-Scholes partial
  differential equations
A proof that artificial neural networks overcome the curse of dimensionality in the numerical approximation of Black-Scholes partial differential equations
Philipp Grohs
F. Hornung
Arnulf Jentzen
Philippe von Wurstemberger
21
167
0
07 Sep 2018
Geology prediction based on operation data of TBM: comparison between
  deep neural network and statistical learning methods
Geology prediction based on operation data of TBM: comparison between deep neural network and statistical learning methods
Maolin Shi
Xueguan Song
Wei Sun
AI4CE
11
20
0
07 Sep 2018
Bangla License Plate Recognition Using Convolutional Neural Networks
  (CNN)
Bangla License Plate Recognition Using Convolutional Neural Networks (CNN)
Shaifur Rahman
Mst Shamima Nasrin
M. Mostakim
Md. Zahangir Alom
38
13
0
04 Sep 2018
Fast Convergence for Object Detection by Learning how to Combine Error
  Functions
Fast Convergence for Object Detection by Learning how to Combine Error Functions
Benjamin Schnieders
K. Tuyls
ObjD
27
4
0
13 Aug 2018
Orders-of-magnitude speedup in atmospheric chemistry modeling through
  neural network-based emulation
Orders-of-magnitude speedup in atmospheric chemistry modeling through neural network-based emulation
M. Kelp
C. Tessum
J. Marshall
12
29
0
11 Aug 2018
Autoencoder Based Sample Selection for Self-Taught Learning
Autoencoder Based Sample Selection for Self-Taught Learning
Siwei Feng
Han Yu
Marco F. Duarte
SSL
35
11
0
05 Aug 2018
Evaluating the Readability of Force Directed Graph Layouts: A Deep
  Learning Approach
Evaluating the Readability of Force Directed Graph Layouts: A Deep Learning Approach
Hammad Haleem
Yuanbo Wang
Abishek Puri
Sahil Wadhwa
Huamin Qu
GNN
19
43
0
02 Aug 2018
PADME: A Deep Learning-based Framework for Drug-Target Interaction
  Prediction
PADME: A Deep Learning-based Framework for Drug-Target Interaction Prediction
Qingyuan Feng
Evgenia V. Dueva
Artem Cherkasov
Martin Ester
21
82
0
25 Jul 2018
Multimodal Classification with Deep Convolutional-Recurrent Neural
  Networks for Electroencephalography
Multimodal Classification with Deep Convolutional-Recurrent Neural Networks for Electroencephalography
Chuanqi Tan
F. Sun
Wenchang Zhang
Jianhua Chen
Chunfang Liu
18
41
0
24 Jul 2018
Deep learning at the shallow end: Malware classification for non-domain
  experts
Deep learning at the shallow end: Malware classification for non-domain experts
Quan Le
Oisín Boydell
Brian Mac Namee
Mark Scanlon
78
173
0
22 Jul 2018
Deep Learning in the Wild
Deep Learning in the Wild
Thilo Stadelmann
Mohammadreza Amirian
Ismail Arabaci
M. Arnold
G. Duivesteijn
...
Melanie Geiger
Stefan Lörwald
B. Meier
Katharina Rombach
Lukas Tuggener
24
42
0
13 Jul 2018
Convolutional Recurrent Neural Networks for Glucose Prediction
Convolutional Recurrent Neural Networks for Glucose Prediction
Kezhi Li
J. Daniels
Chengyuan Liu
P. Herrero
Pantelis Georgiou
BDL
21
215
0
09 Jul 2018
A Survey of Knowledge Representation in Service Robotics
A Survey of Knowledge Representation in Service Robotics
D. Paulius
Yu Sun
25
94
0
05 Jul 2018
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
Blockchain as a Service: A Decentralized and Secure Computing Paradigm
G. Mendis
Yifu Wu
Jin Wei
Moein Sabounchi
Rigoberto Roche'
29
21
0
05 Jul 2018
Arcades: A deep model for adaptive decision making in voice controlled
  smart-home
Arcades: A deep model for adaptive decision making in voice controlled smart-home
Alexis Brenon
François Portet
Michel Vacher
19
22
0
05 Jul 2018
Neural Networks Trained to Solve Differential Equations Learn General
  Representations
Neural Networks Trained to Solve Differential Equations Learn General Representations
M. Magill
F. Qureshi
H. W. Haan
14
64
0
29 Jun 2018
Deep learning in business analytics and operations research: Models,
  applications and managerial implications
Deep learning in business analytics and operations research: Models, applications and managerial implications
Mathias Kraus
Stefan Feuerriegel
A. Oztekin
23
286
0
28 Jun 2018
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