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Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

23 November 2015
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)"

50 / 664 papers shown
Title
EndNet: Sparse AutoEncoder Network for Endmember Extraction and
  Hyperspectral Unmixing
EndNet: Sparse AutoEncoder Network for Endmember Extraction and Hyperspectral Unmixing
Savas Ozkan
Berk Kaya
G. Akar
23
190
0
06 Aug 2017
Training Deep AutoEncoders for Collaborative Filtering
Training Deep AutoEncoders for Collaborative Filtering
Oleksii Kuchaiev
Boris Ginsburg
30
80
0
05 Aug 2017
Learning Audio - Sheet Music Correspondences for Score Identification
  and Offline Alignment
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer
A. Arzt
Gerhard Widmer
33
43
0
31 Jul 2017
SchNet: A continuous-filter convolutional neural network for modeling
  quantum interactions
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions
Kristof T. Schütt
Pieter-Jan Kindermans
Huziel Enoc Sauceda Felix
Stefan Chmiela
A. Tkatchenko
K. Müller
40
1,049
0
26 Jun 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural
  Network: A Kaggle Competition
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
V. Iglovikov
Sergey Mushinskiy
V. Osin
29
167
0
19 Jun 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
G. Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
61
2,483
0
08 Jun 2017
Learning by Association - A versatile semi-supervised training method
  for neural networks
Learning by Association - A versatile semi-supervised training method for neural networks
Philip Häusser
A. Mordvintsev
Daniel Cremers
BDL
25
121
0
03 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
11
117
0
01 Jun 2017
Discriminative k-shot learning using probabilistic models
Discriminative k-shot learning using probabilistic models
Matthias Bauer
Mateo Rojas-Carulla
J. Swiatkowski
Bernhard Schölkopf
Richard Turner
VLM
18
71
0
01 Jun 2017
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Superhuman Accuracy on the SNEMI3D Connectomics Challenge
Kisuk Lee
J. Zung
Peter H. Li
Viren Jain
H. S. Seung
3DV
17
266
0
31 May 2017
Cross-Domain Perceptual Reward Functions
Cross-Domain Perceptual Reward Functions
Ashley D. Edwards
Srijan Sood
Charles Isbell
27
7
0
25 May 2017
Causal Effect Inference with Deep Latent-Variable Models
Causal Effect Inference with Deep Latent-Variable Models
Christos Louizos
Uri Shalit
Joris Mooij
David Sontag
R. Zemel
Max Welling
CML
BDL
66
727
0
24 May 2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas W. Anthony
Zheng Tian
David Barber
10
384
0
23 May 2017
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural
  Networks for Environmental Awareness
Toward Low-Flying Autonomous MAV Trail Navigation using Deep Neural Networks for Environmental Awareness
Nikolai Smolyanskiy
A. Kamenev
Jeffrey Smith
Stan Birchfield
26
222
0
07 May 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
30
284
0
27 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
A* CCG Parsing with a Supertag and Dependency Factored Model
A* CCG Parsing with a Supertag and Dependency Factored Model
Masashi Yoshikawa
Hiroshi Noji
Yuji Matsumoto
LRM
3DV
17
63
0
23 Apr 2017
Robust, Deep and Inductive Anomaly Detection
Robust, Deep and Inductive Anomaly Detection
Raghavendra Chalapathy
A. Menon
S. Chawla
16
161
0
22 Apr 2017
End-to-End Unsupervised Deformable Image Registration with a
  Convolutional Neural Network
End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network
B. D. de Vos
F. Berendsen
M. Viergever
Marius Staring
Ivana Išgum
MedIm
16
442
0
20 Apr 2017
Deep 6-DOF Tracking
Deep 6-DOF Tracking
Mathieu Garon
Jean-François Lalonde
3DPC
23
85
0
28 Mar 2017
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to
  Specific Appearance for Crowd Counting
Mixture of Counting CNNs: Adaptive Integration of CNNs Specialized to Specific Appearance for Crowd Counting
Shohei Kumagai
Kazuhiro Hotta
Takio Kurita
30
73
0
28 Mar 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
21
170
0
27 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
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
13
102
0
17 Mar 2017
Deep Sets
Deep Sets
Manzil Zaheer
Satwik Kottur
Siamak Ravanbakhsh
Barnabás Póczós
Ruslan Salakhutdinov
Alex Smola
80
2,419
0
10 Mar 2017
Learning Gradient Descent: Better Generalization and Longer Horizons
Learning Gradient Descent: Better Generalization and Longer Horizons
Kaifeng Lyu
Shunhua Jiang
Jian Li
9
113
0
10 Mar 2017
Improving the Neural GPU Architecture for Algorithm Learning
Improving the Neural GPU Architecture for Algorithm Learning
Kārlis Freivalds
Renars Liepins
20
43
0
28 Feb 2017
Activation Ensembles for Deep Neural Networks
Activation Ensembles for Deep Neural Networks
Mark Harmon
Diego Klabjan
31
35
0
24 Feb 2017
Neural Multi-Step Reasoning for Question Answering on Semi-Structured
  Tables
Neural Multi-Step Reasoning for Question Answering on Semi-Structured Tables
Till Haug
O. Ganea
Paulina Grnarova
LMTD
ReLM
LRM
25
38
0
21 Feb 2017
Convergence Results for Neural Networks via Electrodynamics
Convergence Results for Neural Networks via Electrodynamics
Rina Panigrahy
Sushant Sachdeva
Qiuyi Zhang
MLT
MDE
26
22
0
01 Feb 2017
Imitating Driver Behavior with Generative Adversarial Networks
Imitating Driver Behavior with Generative Adversarial Networks
Alex Kuefler
Jeremy Morton
T. Wheeler
Mykel Kochenderfer
GAN
16
405
0
24 Jan 2017
Oriented Response Networks
Oriented Response Networks
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
16
259
0
07 Jan 2017
Dynamic Action Recognition: A convolutional neural network model for
  temporally organized joint location data
Dynamic Action Recognition: A convolutional neural network model for temporally organized joint location data
Adhavan Jayabalan
H. Karunakaran
Shravan Murlidharan
Tesia Shizume
HAI
8
7
0
20 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
AGA: Attribute Guided Augmentation
AGA: Attribute Guided Augmentation
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
GAN
18
100
0
08 Dec 2016
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using
  Householder Reflections
Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections
Zakaria Mhammedi
Andrew D. Hellicar
Ashfaqur Rahman
James Bailey
16
129
0
01 Dec 2016
Quad-networks: unsupervised learning to rank for interest point
  detection
Quad-networks: unsupervised learning to rank for interest point detection
Nikolay Savinov
Akihito Seki
Lubor Ladicky
Torsten Sattler
Marc Pollefeys
3DPC
19
172
0
22 Nov 2016
Factorized Bilinear Models for Image Recognition
Factorized Bilinear Models for Image Recognition
Yanghao Li
Naiyan Wang
Jiaying Liu
Xiaodi Hou
19
96
0
17 Nov 2016
CIFAR-10: KNN-based Ensemble of Classifiers
CIFAR-10: KNN-based Ensemble of Classifiers
Yehya Abouelnaga
Ola S. Ali
Hager Rady
Mohamed Moustafa
FedML
16
65
0
15 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
35
133
0
07 Nov 2016
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for
  Completely Cold Item Recommendations
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations
Oren Barkan
Noam Koenigstein
E. Yogev
Ori Katz
VLM
50
4
0
01 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
HyperNetworks
HyperNetworks
David R Ha
Andrew M. Dai
Quoc V. Le
66
1,580
0
27 Sep 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
24
383
0
22 Sep 2016
Convolutional Recurrent Neural Networks for Music Classification
Convolutional Recurrent Neural Networks for Music Classification
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
Kyunghyun Cho
10
476
0
14 Sep 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
69
2,866
0
13 Sep 2016
Episodic Exploration for Deep Deterministic Policies: An Application to
  StarCraft Micromanagement Tasks
Episodic Exploration for Deep Deterministic Policies: An Application to StarCraft Micromanagement Tasks
Nicolas Usunier
Gabriel Synnaeve
Zeming Lin
Soumith Chintala
22
138
0
10 Sep 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
MQ
20
251
0
22 Aug 2016
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
18
118
0
22 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
28
824
0
18 Aug 2016
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