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Self-Normalizing Neural Networks
v1v2v3v4v5 (latest)

Self-Normalizing Neural Networks

Neural Information Processing Systems (NeurIPS), 2017
8 June 2017
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
ArXiv (abs)PDFHTMLGithub (1585★)

Papers citing "Self-Normalizing Neural Networks"

50 / 926 papers shown
Title
Orthogonally Decoupled Variational Gaussian Processes
Orthogonally Decoupled Variational Gaussian ProcessesNeural Information Processing Systems (NeurIPS), 2018
Hugh Salimbeni
Ching-An Cheng
Byron Boots
M. Deisenroth
279
45
0
24 Sep 2018
Design Space Exploration of Neural Network Activation Function Circuits
Design Space Exploration of Neural Network Activation Function Circuits
Tao Yang
Yadong Wei
Zhaopeng Tu
Haolun Zeng
Michel A. Kinsy
Nanning Zheng
Pengju Ren
100
53
0
22 Sep 2018
Automatic Program Synthesis of Long Programs with a Learned Garbage
  Collector
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Amit Zohar
Lior Wolf
265
78
0
12 Sep 2018
Efficient and Robust Parallel DNN Training through Model Parallelism on
  Multi-GPU Platform
Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform
Chi-Chung Chen
Chia-Lin Yang
Hsiang-Yun Cheng
252
105
0
08 Sep 2018
Embedding Multimodal Relational Data for Knowledge Base Completion
Embedding Multimodal Relational Data for Knowledge Base Completion
Pouya Pezeshkpour
Liyan Chen
Sameer Singh
182
145
0
05 Sep 2018
Diverse and Coherent Paragraph Generation from Images
Diverse and Coherent Paragraph Generation from Images
Moitreya Chatterjee
Alex Schwing
122
67
0
03 Sep 2018
Data Dropout: Optimizing Training Data for Convolutional Neural Networks
Data Dropout: Optimizing Training Data for Convolutional Neural Networks
Tianyang Wang
Jun Huan
Bo Li
OOD
133
61
0
01 Sep 2018
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Dropout with Tabu Strategy for Regularizing Deep Neural Networks
Zongjie Ma
A. Sattar
Jun Zhou
Qingliang Chen
Kaile Su
155
6
0
29 Aug 2018
An Attention-Gated Convolutional Neural Network for Sentence
  Classification
An Attention-Gated Convolutional Neural Network for Sentence Classification
Yang Liu
Lixin Ji
Ruiyang Huang
Tuosiyu Ming
Chao Gao
Jianpeng Zhang
180
44
0
22 Aug 2018
Collapse of Deep and Narrow Neural Nets
Collapse of Deep and Narrow Neural Nets
Lu Lu
Yanhui Su
George Karniadakis
ODL
217
164
0
15 Aug 2018
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
257
150
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
124
18
0
09 Aug 2018
Robust Implicit Backpropagation
Robust Implicit Backpropagation
Francois Fagan
G. Iyengar
121
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
111
0
0
07 Aug 2018
The Quest for the Golden Activation Function
The Quest for the Golden Activation Function
Mina Basirat
P. Roth
132
54
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
107
52
0
31 Jul 2018
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Effectiveness of Scaled Exponentially-Regularized Linear Units (SERLUs)
Guoqiang Zhang
Hao Li
107
11
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
ObjD3DH
130
10
0
23 Jul 2018
Siamese Survival Analysis with Competing Risks
Siamese Survival Analysis with Competing RisksInternational Conference on Artificial Neural Networks (ICANN), 2018
Anton Nemchenko
T. Kyono
M. Schaar
100
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
OODGANAI4CE
233
115
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
260
63
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 LearningPrague Bulletin of Mathematical Linguistics (PBML), 2018
Álvaro Peris
F. Casacuberta
KELMHAI
213
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
Jan Niehues
A. Waibel
OOD
99
24
0
07 Jul 2018
Parallel Convolutional Networks for Image Recognition via a
  Discriminator
Parallel Convolutional Networks for Image Recognition via a DiscriminatorAsian Conference on Computer Vision (ACCV), 2017
Shiqi Yang
G. Peng
113
3
0
06 Jul 2018
Punctuation Prediction Model for Conversational Speech
Punctuation Prediction Model for Conversational SpeechInterspeech (Interspeech), 2018
Piotr Żelasko
Piotr Szymañski
Jan Mizgajski
Adrian Szymczak
Yishay Carmiel
Najim Dehak
93
56
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
176
203
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 RatesInterspeech (Interspeech), 2018
Joo-Kyung Kim
Young-Bum Kim
171
53
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
107
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
83
35
0
26 Jun 2018
Convolutional Neural Networks to Enhance Coded Speech
Convolutional Neural Networks to Enhance Coded Speech
Ziyue Zhao
Huijun Liu
Tim Fingscheidt
304
73
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
82
72
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
123
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
122
66
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
101
14
0
01 Jun 2018
Understanding Batch Normalization
Understanding Batch Normalization
Johan Bjorck
Daniel Schwalbe-Koda
B. Selman
Kilian Q. Weinberger
569
705
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
124
500
0
30 May 2018
How Does Batch Normalization Help Optimization?
How Does Batch Normalization Help Optimization?
Shibani Santurkar
Dimitris Tsipras
Andrew Ilyas
Aleksander Madry
ODL
448
1,665
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
260
96
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
125
36
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
268
3
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
189
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
121
77
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
221
30
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
162
21
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 Glavaš
N. Mrksic
Anna Korhonen
159
44
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
409
592
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
251
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.
190
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
134
21
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 UnderstandingNorth American Chapter of the Association for Computational Linguistics (NAACL), 2018
Young-Bum Kim
Dongchan Kim
Joo-Kyung Kim
R. Sarikaya
113
25
0
22 Apr 2018
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