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Self-Normalizing Neural Networks

Self-Normalizing Neural Networks

8 June 2017
G. Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Self-Normalizing Neural Networks"

50 / 866 papers shown
Title
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine
  Learning Tasks
Ensemble Kalman Inversion: A Derivative-Free Technique For Machine Learning Tasks
Nikola B. Kovachki
Andrew M. Stuart
BDL
42
136
0
10 Aug 2018
DeepMag: Source Specific Motion Magnification Using Gradient Ascent
DeepMag: Source Specific Motion Magnification Using Gradient Ascent
W. Chen
Daniel J. McDuff
MedIm
26
16
0
09 Aug 2018
Robust Implicit Backpropagation
Robust Implicit Backpropagation
Francois Fagan
G. Iyengar
6
1
0
07 Aug 2018
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology
  from Cancer Transcriptome
DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome
B. Azarkhalili
A. Saberi
H. Chitsaz
A. Sharifi-Zarchi
AI4CE
10
0
0
07 Aug 2018
The Quest for the Golden Activation Function
The Quest for the Golden Activation Function
Mina Basirat
P. Roth
11
53
0
02 Aug 2018
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding
  Arbitrary Gender Classifiers
Gender Privacy: An Ensemble of Semi Adversarial Networks for Confounding Arbitrary Gender Classifiers
Vahid Mirjalili
S. Raschka
Arun Ross
PICV
24
47
0
31 Jul 2018
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Guoqiang Zhang
Hao Li
6
10
0
26 Jul 2018
Visual Mesh: Real-time Object Detection Using Constant Sample Density
Visual Mesh: Real-time Object Detection Using Constant Sample Density
Trent Houliston
Stephan Chalup
ObjD
3DH
22
10
0
23 Jul 2018
Siamese Survival Analysis with Competing Risks
Siamese Survival Analysis with Competing Risks
Anton Nemchenko
T. Kyono
M. Schaar
11
5
0
16 Jul 2018
Parametric generation of conditional geological realizations using
  generative neural networks
Parametric generation of conditional geological realizations using generative neural networks
Shing Chan
A. Elsheikh
OOD
GAN
AI4CE
21
101
0
13 Jul 2018
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial
  Networks
On Catastrophic Forgetting and Mode Collapse in Generative Adversarial Networks
Hoang Thanh-Tung
T. Tran
GAN
13
58
0
11 Jul 2018
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and
  Online Learning
NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning
Álvaro Peris
F. Casacuberta
KELM
HAI
22
21
0
09 Jul 2018
Robust and Scalable Differentiable Neural Computer for Question
  Answering
Robust and Scalable Differentiable Neural Computer for Question Answering
Jörg Franke
J. Niehues
A. Waibel
OOD
13
24
0
07 Jul 2018
Parallel Convolutional Networks for Image Recognition via a
  Discriminator
Parallel Convolutional Networks for Image Recognition via a Discriminator
Shiqi Yang
G. Peng
13
3
0
06 Jul 2018
Punctuation Prediction Model for Conversational Speech
Punctuation Prediction Model for Conversational Speech
Piotr Żelasko
Piotr Szymañski
Jan Mizgajski
Adrian Szymczak
Yishay Carmiel
Najim Dehak
14
54
0
02 Jul 2018
Product-based Neural Networks for User Response Prediction over
  Multi-field Categorical Data
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
Yanru Qu
Bohui Fang
Weinan Zhang
Ruiming Tang
Minzhe Niu
Huifeng Guo
Yong Yu
Xiuqiang He
9
179
0
01 Jul 2018
Joint Learning of Domain Classification and Out-of-Domain Detection with
  Dynamic Class Weighting for Satisficing False Acceptance Rates
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates
Joo-Kyung Kim
Young-Bum Kim
17
51
0
29 Jun 2018
DeepTag: inferring all-cause diagnoses from clinical notes in
  under-resourced medical domain
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain
Allen Nie
Ashley M. Zehnder
R. Page
A. L. Pineda
Manuel A. Rivas
C. Bustamante
James Zou
11
2
0
28 Jun 2018
Adaptive Blending Units: Trainable Activation Functions for Deep Neural
  Networks
Adaptive Blending Units: Trainable Activation Functions for Deep Neural Networks
L. R. Sütfeld
Flemming Brieger
Holger Finger
S. Füllhase
G. Pipa
20
28
0
26 Jun 2018
Convolutional Neural Networks to Enhance Coded Speech
Convolutional Neural Networks to Enhance Coded Speech
Ziyue Zhao
Huijun Liu
Tim Fingscheidt
24
64
0
25 Jun 2018
A Scalable Machine Learning System for Pre-Season Agriculture Yield
  Forecast
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira
R. L. F. Cunha
B. Silva
M. Netto
6
63
0
25 Jun 2018
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with
  Deep Learning
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning
A. Hess
Raphael Meier
Johannes Kaesmacher
Simon Jung
Fabien Scalzo
D. Liebeskind
Roland Wiest
Richard McKinley
MedIm
16
15
0
11 Jun 2018
Y-Net: A deep Convolutional Neural Network for Polyp Detection
Y-Net: A deep Convolutional Neural Network for Polyp Detection
A. Mohammed
Sule YAYILGAN YILDIRIM
I. Farup
Marius Pedersen
Ø. Hovde
MedIm
16
63
0
05 Jun 2018
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural
  Networks
The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks
George Philipp
J. Carbonell
15
14
0
01 Jun 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Carla P. Gomes
B. Selman
Kilian Q. Weinberger
18
593
0
01 Jun 2018
Short-term Load Forecasting with Deep Residual Networks
Short-term Load Forecasting with Deep Residual Networks
Kunjin Chen
Kunlong Chen
Qin Wang
Ziyu He
Jun Hu
Jinliang He
31
463
0
30 May 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
A. Madry
ODL
27
1,521
0
29 May 2018
Exponential convergence rates for Batch Normalization: The power of
  length-direction decoupling in non-convex optimization
Exponential convergence rates for Batch Normalization: The power of length-direction decoupling in non-convex optimization
Jonas Köhler
Hadi Daneshmand
Aurelien Lucchi
M. Zhou
K. Neymeyr
Thomas Hofmann
15
91
0
27 May 2018
Letting Emotions Flow: Success Prediction by Modeling the Flow of
  Emotions in Books
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan
Sudipta Kar
Manuel Montes-y-Gómez
Fabio Gonzalez
Thamar Solorio
19
37
0
24 May 2018
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine
  Diagnostics
Deep Learning Estimation of Absorbed Dose for Nuclear Medicine Diagnostics
Luciano Melodia
10
2
0
23 May 2018
Breaking the Activation Function Bottleneck through Adaptive
  Parameterization
Breaking the Activation Function Bottleneck through Adaptive Parameterization
Sebastian Flennerhag
Hujun Yin
J. Keane
Mark Elliot
14
12
0
22 May 2018
On the Selection of Initialization and Activation Function for Deep
  Neural Networks
On the Selection of Initialization and Activation Function for Deep Neural Networks
Soufiane Hayou
Arnaud Doucet
Judith Rousseau
ODL
8
75
0
21 May 2018
Feedback-Based Tree Search for Reinforcement Learning
Feedback-Based Tree Search for Reinforcement Learning
Daniel R. Jiang
E. Ekwedike
Han Liu
14
29
0
15 May 2018
Doing the impossible: Why neural networks can be trained at all
Doing the impossible: Why neural networks can be trained at all
Nathan Oken Hodas
P. Stinis
AI4CE
18
19
0
13 May 2018
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical
  Resources
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
Goran Glavas
N. Mrksic
Anna Korhonen
26
43
0
08 May 2018
Gaussian Process Behaviour in Wide Deep Neural Networks
Gaussian Process Behaviour in Wide Deep Neural Networks
A. G. Matthews
Mark Rowland
Jiri Hron
Richard Turner
Zoubin Ghahramani
BDL
30
548
0
30 Apr 2018
SHADE: Information Based Regularization for Deep Learning
SHADE: Information Based Regularization for Deep Learning
Michael Blot
Thomas Robert
Nicolas Thome
Matthieu Cord
32
12
0
29 Apr 2018
Detection of Glottal Closure Instants from Raw Speech using
  Convolutional Neural Networks
Detection of Glottal Closure Instants from Raw Speech using Convolutional Neural Networks
Mohit Goyal
Varun Srivastava
P. PrathoshA.
17
2
0
26 Apr 2018
Efficient Large-Scale Domain Classification with Personalized Attention
Efficient Large-Scale Domain Classification with Personalized Attention
Young-Bum Kim
Dongchan Kim
Anjishnu Kumar
R. Sarikaya
16
22
0
22 Apr 2018
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain
  Classification in Natural Language Understanding
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
Young-Bum Kim
Dongchan Kim
Joo-Kyung Kim
R. Sarikaya
21
24
0
22 Apr 2018
PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation
PHD-GIFs: Personalized Highlight Detection for Automatic GIF Creation
A. Molino
Michael Gygli
6
39
0
18 Apr 2018
Developing Synthesis Flows Without Human Knowledge
Developing Synthesis Flows Without Human Knowledge
Cunxi Yu
Houping Xiao
G. Micheli
11
88
0
16 Apr 2018
Building robust prediction models for defective sensor data using
  Artificial Neural Networks
Building robust prediction models for defective sensor data using Artificial Neural Networks
A. Shekar
C. S.A.
Hugo Ferreira
Carlos Soares
15
3
0
16 Apr 2018
Comparison of non-linear activation functions for deep neural networks
  on MNIST classification task
Comparison of non-linear activation functions for deep neural networks on MNIST classification task
Dabal Pedamonti
11
185
0
08 Apr 2018
Generative Visual Rationales
Generative Visual Rationales
J. Seah
Jennifer S. N. Tang
Andy Kitchen
Jonathan Seah
MedIm
11
1
0
04 Apr 2018
DeepMVS: Learning Multi-view Stereopsis
DeepMVS: Learning Multi-view Stereopsis
Po-Han Huang
Kevin Blackburn-Matzen
Johannes Kopf
Narendra Ahuja
Jia-Bin Huang
3DV
14
465
0
02 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning
  methods for neuromusculoskeletal environments
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments
L. Kidzinski
Sharada Mohanty
Carmichael F. Ong
Zhewei Huang
Shuchang Zhou
...
Sean F. Carroll
Jennifer Hicks
Sergey Levine
M. Salathé
Scott L. Delp
19
87
0
02 Apr 2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Feed-forward Uncertainty Propagation in Belief and Neural Networks
Alexander Shekhovtsov
B. Flach
M. Busta
20
4
0
28 Mar 2018
Normalization of Neural Networks using Analytic Variance Propagation
Normalization of Neural Networks using Analytic Variance Propagation
Alexander Shekhovtsov
B. Flach
17
6
0
28 Mar 2018
Fréchet ChemNet Distance: A metric for generative models for molecules
  in drug discovery
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery
Kristina Preuer
Philipp Renz
Thomas Unterthiner
Sepp Hochreiter
G. Klambauer
MedIm
23
324
0
26 Mar 2018
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