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1404.7828
Cited By
Deep Learning in Neural Networks: An Overview
30 April 2014
Jürgen Schmidhuber
HAI
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Papers citing
"Deep Learning in Neural Networks: An Overview"
50 / 764 papers shown
Title
Extraction of Skin Lesions from Non-Dermoscopic Images Using Deep Learning
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Hierarchical Multiscale Recurrent Neural Networks
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A deep learning model for estimating story points
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Hoa Dam
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A. Ghose
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02 Sep 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
S. Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
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327
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Applying Deep Learning to Basketball Trajectories
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Rob Romijnders
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56
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12 Aug 2016
The Future of Data Analysis in the Neurosciences
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5
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05 Aug 2016
Deepr: A Convolutional Net for Medical Records
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N. Wickramasinghe
Svetha Venkatesh
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26 Jul 2016
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
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12 Jul 2016
Applying Deep Learning to the Newsvendor Problem
Afshin Oroojlooyjadid
L. Snyder
Martin Takáč
OOD
23
128
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07 Jul 2016
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane
Danilo Comminiello
Amir Hussain
A. Uncini
24
462
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02 Jul 2016
Algorithmic Composition of Melodies with Deep Recurrent Neural Networks
Florian Colombo
S. Muscinelli
Alexander Seeholzer
Johanni Brea
W. Gerstner
21
46
0
23 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
21
48
0
08 Jun 2016
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OOD
MQ
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96
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Conversational Contextual Cues: The Case of Personalization and History for Response Ranking
Rami Al-Rfou
Marc Pickett
J. Snaider
Yun-hsuan Sung
B. Strope
R. Kurzweil
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35
92
0
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Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Matthew W. Moskewicz
F. Iandola
Kurt Keutzer
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Generative Choreography using Deep Learning
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L. Crnkovic-Friis
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Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games
Xiaoxiao Guo
Satinder Singh
Richard L. Lewis
Honglak Lee
19
55
0
24 Apr 2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder
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M. Ghodrati
M. Ganjtabesh
T. Masquelier
OOD
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0
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The SP theory of intelligence and the representation and processing of knowledge in the brain
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Using Deep Learning for Image-Based Plant Disease Detection
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David P. Hughes
M. Salathé
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Deep Learning in Bioinformatics
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Byunghan Lee
Sungroh Yoon
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21 Mar 2016
Bank distress in the news: Describing events through deep learning
Samuel Rönnqvist
Peter Sarlin
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56
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17 Mar 2016
How deep is knowledge tracing?
Mohammad M. Khajah
Robert V. Lindsey
Michael C. Mozer
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Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
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David Silver
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397
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On Complex Valued Convolutional Neural Networks
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29 Feb 2016
Towards Neural Knowledge DNA
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C. Sanín
E. Szczerbicki
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Learning values across many orders of magnitude
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A. Guez
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Volodymyr Mnih
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Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das
Sasikanth Avancha
Dheevatsa Mudigere
K. Vaidyanathan
Srinivas Sridharan
Dhiraj D. Kalamkar
Bharat Kaul
Pradeep Dubey
GNN
21
169
0
22 Feb 2016
Deep Learning on FPGAs: Past, Present, and Future
Griffin Lacey
Graham W. Taylor
S. Areibi
GNN
21
180
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13 Feb 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
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Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
P. U. Diehl
Guido Zarrella
A. Cassidy
Bruno U. Pedroni
Emre Neftci
32
217
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Feedforward Sequential Memory Networks: A New Structure to Learn Long-term Dependency
Shiliang Zhang
Cong Liu
Hui Jiang
Si Wei
Lirong Dai
Yu Hu
29
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Modeling Progress in AI
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16
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Deep-Spying: Spying using Smartwatch and Deep Learning
Tony Beltramelli
S. Risi
14
32
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Continuous online sequence learning with an unsupervised neural network model
Yuwei Cui
Subutai Ahmad
J. Hawkins
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27
239
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Proposition of a Theoretical Model for Missing Data Imputation using Deep Learning and Evolutionary Algorithms
Collins Leke
T. Marwala
Satyakama Paul
SyDa
13
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04 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
32
101
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30 Nov 2015
Natural Language Understanding with Distributed Representation
Kyunghyun Cho
GNN
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21
55
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24 Nov 2015
Recurrent Neural Networks Hardware Implementation on FPGA
Andre Xian Ming Chang
B. Martini
Eugenio Culurciello
27
126
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Postprocessing of Compressed Images via Sequential Denoising
Yehuda Dar
A. Bruckstein
Michael Elad
Raja Giryes
18
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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
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Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
33
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Some Theorems for Feed Forward Neural Networks
K. Eswaran
Vishwajeet Singh
14
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The SP theory of intelligence: distinctive features and advantages
J. G. Wolff
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Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
33
175
0
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Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
19
851
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Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla
Bernhard Schölkopf
Richard Turner
J. Peters
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23
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Memory and information processing in neuromorphic systems
Giacomo Indiveri
Shih-Chii Liu
180
570
0
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Visualizing and Understanding Recurrent Networks
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Justin Johnson
Li Fei-Fei
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52
1,096
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Robust Optimization for Deep Regression
Vasileios Belagiannis
Christian Rupprecht
G. Carneiro
Nassir Navab
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180
0
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