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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 / 654 papers shown
Title
DVAE++: Discrete Variational Autoencoders with Overlapping
  Transformations
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
Arash Vahdat
W. Macready
Zhengbing Bian
Amir Khoshaman
Evgeny Andriyash
37
75
0
14 Feb 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Few-Shot Learning with Metric-Agnostic Conditional Embeddings
Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Court D. Corley
Nathan Oken Hodas
SSL
31
158
0
12 Feb 2018
A General Pipeline for 3D Detection of Vehicles
A General Pipeline for 3D Detection of Vehicles
Xinxin Du
M. Ang
S. Karaman
Daniela Rus
3DPC
30
143
0
12 Feb 2018
Deep UQ: Learning deep neural network surrogate models for high
  dimensional uncertainty quantification
Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification
Rohit Tripathy
Ilias Bilionis
AI4CE
11
403
0
02 Feb 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
26
54
0
29 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Yu Wu
Xinhan Di
Baoquan Chen
3DPC
122
2,420
0
23 Jan 2018
Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single
  Low Dynamic Range Image
Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image
Siyeong Lee
Gwon Hwan An
Suk-ju Kang
3DV
19
105
0
19 Jan 2018
Fully Convolutional Multi-scale Residual DenseNets for Cardiac
  Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers
Mahendra Khened
Alex Varghese
Ganapathy Krishnamurthi
24
309
0
16 Jan 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
32
1,248
0
12 Jan 2018
Inference Suboptimality in Variational Autoencoders
Inference Suboptimality in Variational Autoencoders
Chris Cremer
Xuechen Li
David Duvenaud
DRL
BDL
30
280
0
10 Jan 2018
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with
  Deep Learning
Deep Fingerprinting: Undermining Website Fingerprinting Defenses with Deep Learning
Payap Sirinam
Mohsen Imani
Marc Juárez
M. Wright
14
452
0
07 Jan 2018
2D-Densely Connected Convolution Neural Networks for automatic Liver and
  Tumor Segmentation
2D-Densely Connected Convolution Neural Networks for automatic Liver and Tumor Segmentation
Krishna Chaitanya Kaluva
Mahendra Khened
Avinash Kori
Ganapathy Krishnamurthi
MedIm
27
53
0
05 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
A. Gretton
EGVM
43
1,450
0
04 Jan 2018
Gated Recurrent Networks for Seizure Detection
Gated Recurrent Networks for Seizure Detection
M. Golmohammadi
S. Ziyabari
V. Shah
E. Weltin
C. Campbell
I. Obeid
J. Picone
13
58
0
03 Jan 2018
Metadynamics for Training Neural Network Model Chemistries: a
  Competitive Assessment
Metadynamics for Training Neural Network Model Chemistries: a Competitive Assessment
John E. Herr
Kun Yao
R. McIntyre
David W Toth
John A. Parkhill
18
63
0
19 Dec 2017
Eye In-Painting with Exemplar Generative Adversarial Networks
Eye In-Painting with Exemplar Generative Adversarial Networks
Brian Dolhansky
Cristian Canton Ferrer
GAN
27
109
0
11 Dec 2017
FearNet: Brain-Inspired Model for Incremental Learning
FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker
Christopher Kanan
CLL
36
473
0
28 Nov 2017
Invariance of Weight Distributions in Rectified MLPs
Invariance of Weight Distributions in Rectified MLPs
Russell Tsuchida
Farbod Roosta-Khorasani
M. Gallagher
MLT
32
35
0
24 Nov 2017
Aperture Supervision for Monocular Depth Estimation
Aperture Supervision for Monocular Depth Estimation
Pratul P. Srinivasan
Rahul Garg
Neal Wadhwa
Ren Ng
Jonathan T. Barron
MDE
21
56
0
21 Nov 2017
Hierarchical internal representation of spectral features in deep
  convolutional networks trained for EEG decoding
Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding
K. Hartmann
R. Schirrmeister
T. Ball
21
27
0
21 Nov 2017
Chinese Typeface Transformation with Hierarchical Adversarial Network
Chinese Typeface Transformation with Hierarchical Adversarial Network
Jie Chang
Yujun Gu
Ya-Qin Zhang
GAN
25
10
0
17 Nov 2017
xUnit: Learning a Spatial Activation Function for Efficient Image
  Restoration
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
I. Kligvasser
Tamar Rott Shaham
T. Michaeli
18
58
0
17 Nov 2017
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15
  Minutes
Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes
Takuya Akiba
Shuji Suzuki
Keisuke Fukuda
VLM
11
314
0
12 Nov 2017
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory
Ron Amit
Ron Meir
BDL
MLT
32
173
0
03 Nov 2017
Estimating Historical Hourly Traffic Volumes via Machine Learning and
  Vehicle Probe Data: A Maryland Case Study
Estimating Historical Hourly Traffic Volumes via Machine Learning and Vehicle Probe Data: A Maryland Case Study
Przemysław Sekuła
Nikola Marković
Zachary Vander Laan
K. Sadabadi
22
62
0
02 Nov 2017
Backpropagation through the Void: Optimizing control variates for
  black-box gradient estimation
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Will Grathwohl
Dami Choi
Yuhuai Wu
Geoffrey Roeder
David Duvenaud
36
300
0
31 Oct 2017
Understanding GANs: the LQG Setting
Understanding GANs: the LQG Setting
S. Feizi
Changho Suh
F. Xia
David Tse
37
63
0
30 Oct 2017
Certifying Some Distributional Robustness with Principled Adversarial
  Training
Certifying Some Distributional Robustness with Principled Adversarial Training
Aman Sinha
Hongseok Namkoong
Riccardo Volpi
John C. Duchi
OOD
38
854
0
29 Oct 2017
Improving Deep Learning by Inverse Square Root Linear Units (ISRLUs)
Improving Deep Learning by Inverse Square Root Linear Units (ISRLUs)
B. Carlile
G. Delamarter
Paul Kinney
Akiko Marti
Brian Whitney
29
42
0
27 Oct 2017
A multi-branch convolutional neural network for detecting double JPEG
  compression
A multi-branch convolutional neural network for detecting double JPEG compression
Bin Li
Hu Luo
Haoxin Zhang
Shunquan Tan
Zhongzhou Ji
20
28
0
16 Oct 2017
Learnable Explicit Density for Continuous Latent Space and Variational
  Inference
Learnable Explicit Density for Continuous Latent Space and Variational Inference
Chin-Wei Huang
Ahmed Touati
Laurent Dinh
M. Drozdzal
Mohammad Havaei
Laurent Charlin
Aaron Courville
BDL
DRL
23
28
0
06 Oct 2017
Pyramidal RoR for Image Classification
Pyramidal RoR for Image Classification
Ke Zhang
Liru Guo
Ce Gao
Zhenbing Zhao
38
20
0
01 Oct 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
29
93
0
27 Sep 2017
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language
  Understanding
DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
Tao Shen
Dinesh Manocha
Guodong Long
Jing Jiang
Shirui Pan
Chengqi Zhang
9
748
0
14 Sep 2017
The CLaC Discourse Parser at CoNLL-2016
The CLaC Discourse Parser at CoNLL-2016
Majid Laali
Andre Cianflone
Leila Kosseim
16
9
0
19 Aug 2017
Scalable trust-region method for deep reinforcement learning using
  Kronecker-factored approximation
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
Yuhuai Wu
Elman Mansimov
Shun Liao
Roger C. Grosse
Jimmy Ba
OffRL
22
622
0
17 Aug 2017
Learning Chinese Word Representations From Glyphs Of Characters
Learning Chinese Word Representations From Glyphs Of Characters
Tzu-Ray Su
Hung-yi Lee
21
86
0
16 Aug 2017
An ELU Network with Total Variation for Image Denoising
An ELU Network with Total Variation for Image Denoising
Tianyang Wang
Zhengrui Qin
M. Zhu
22
23
0
14 Aug 2017
Learning to Plan Chemical Syntheses
Learning to Plan Chemical Syntheses
Marwin H. S. Segler
Mike Preuss
M. Waller
30
1,356
0
14 Aug 2017
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from
  Remote Sensing Imagery
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Seungkyun Hong
Seongchan Kim
M. Joh
Sa-kwang Song
36
36
0
11 Aug 2017
Speaker Diarization using Deep Recurrent Convolutional Neural Networks
  for Speaker Embeddings
Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings
Pawel Cyrta
Tomasz Trzciñski
Wojciech Stokowiec
14
33
0
09 Aug 2017
An Error Detection and Correction Framework for Connectomics
An Error Detection and Correction Framework for Connectomics
J. Zung
Ignacio Tartavull
Kisuk Lee
H. S. Seung
3DV
30
44
0
08 Aug 2017
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
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
37
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
27
167
0
19 Jun 2017
Self-Normalizing Neural Networks
Self-Normalizing Neural Networks
G. Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
58
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
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