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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"

26 / 926 papers shown
High-resolution Deep Convolutional Generative Adversarial Networks
High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando de la Torre
Irwin King
Michael R. Lyu
GAN
427
35
0
17 Nov 2017
A unified deep artificial neural network approach to partial
  differential equations in complex geometries
A unified deep artificial neural network approach to partial differential equations in complex geometries
Jens Berg
K. Nystrom
AI4CE
197
643
0
17 Nov 2017
Improving Palliative Care with Deep Learning
Improving Palliative Care with Deep Learning
Anand Avati
Kenneth Jung
S. Harman
L. Downing
A. Ng
N. Shah
241
395
0
17 Nov 2017
An Iterative Closest Points Approach to Neural Generative Models
An Iterative Closest Points Approach to Neural Generative Models
Joose Rajamäki
Perttu Hämäläinen
3DPC
210
1
0
16 Nov 2017
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic
  Eddies
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
Redouane Lguensat
Miao Sun
Ronan Fablet
E. Mason
P. Tandeo
Ge Chen
170
151
0
10 Nov 2017
Deformable Deep Convolutional Generative Adversarial Network in
  Microwave Based Hand Gesture Recognition System
Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System
Jiajun Zhang
Zhiguo Shi
100
11
0
06 Nov 2017
Empirical analysis of non-linear activation functions for Deep Neural
  Networks in classification tasks
Empirical analysis of non-linear activation functions for Deep Neural Networks in classification tasks
Giovanni Alcantara
77
16
0
30 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
94
47
0
27 Oct 2017
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data
  Analysis
Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
Mohammad Malekzadeh
R. Clegg
Hamed Haddadi
216
76
0
18 Oct 2017
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and
  CNN
RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN
Aiala Rosá
Luis Chiruzzo
Mathías Etcheverry
Santiago Castro
92
7
0
17 Oct 2017
Searching for Activation Functions
Searching for Activation Functions
Prajit Ramachandran
Barret Zoph
Quoc V. Le
216
674
0
16 Oct 2017
Convolutional neural networks for structured omics: OmicsCNN and the
  OmicsConv layer
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer
Giuseppe Jurman
V. Maggio
Diego Fioravanti
Ylenia Giarratano
Isotta Landi
Margherita Francescatto
Claudio Agostinelli
M. Chierici
Manlio De Domenico
Cesare Furlanello
186
8
0
16 Oct 2017
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning
Zhiguang Wang
C. Gwon
Tim Oates
A. Iezzi
175
27
0
13 Sep 2017
Phylogenetic Convolutional Neural Networks in Metagenomics
Phylogenetic Convolutional Neural Networks in Metagenomics
Diego Fioravanti
Ylenia Giarratano
V. Maggio
Claudio Agostinelli
M. Chierici
Giuseppe Jurman
Cesare Furlanello
147
97
0
06 Sep 2017
Training Spiking Neural Networks for Cognitive Tasks: A Versatile
  Framework Compatible to Various Temporal Codes
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible to Various Temporal Codes
Chaofei Hong
100
0
0
02 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Thomas Unterthiner
Bernhard Nessler
Calvin Seward
Günter Klambauer
M. Heusel
Hubert Ramsauer
Sepp Hochreiter
GAN
262
75
0
29 Aug 2017
Automatic detection and decoding of honey bee waggle dances
Automatic detection and decoding of honey bee waggle dances
Fernando Wario
Benjamin Wild
R. Rojas
Tim Landgraf
126
44
0
22 Aug 2017
Multi-Generator Generative Adversarial Nets
Multi-Generator Generative Adversarial Nets
Q. Hoang
T. Nguyen
Trung Le
Dinh Q. Phung
GAN
270
69
0
08 Aug 2017
Training Deep AutoEncoders for Collaborative Filtering
Training Deep AutoEncoders for Collaborative Filtering
Oleksii Kuchaiev
Boris Ginsburg
204
87
0
05 Aug 2017
Kafnets: kernel-based non-parametric activation functions for neural
  networks
Kafnets: kernel-based non-parametric activation functions for neural networks
Simone Scardapane
S. Van Vaerenbergh
Simone Totaro
A. Uncini
155
12
0
13 Jul 2017
FReLU: Flexible Rectified Linear Units for Improving Convolutional
  Neural Networks
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks
Suo Qiu
Xiangmin Xu
Bolun Cai
123
13
0
25 Jun 2017
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
494
2,426
0
24 Jun 2017
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time
J. Curtò
I. Zarza
Feng Yang
Alex Smola
Fernando de la Torre
Chong Wah Ngo
Luc van Gool
760
3
0
27 Feb 2017
Deep Reinforcement Learning: An Overview
Deep Reinforcement Learning: An Overview
Yuxi Li
OffRLVLM
959
1,741
0
25 Jan 2017
Representation Learning with Deconvolution for Multivariate Time Series
  Classification and Visualization
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization
Zhiguang Wang
Wei Song
Lu Liu
Fan Zhang
Junxiao Xue
Yangdong Ye
Ming Fan
Mingliang Xu
AI4TSFAtt
190
24
0
24 Oct 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox
  Proportional Hazards Deep Neural Network
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural NetworkBMC Medical Research Methodology (BMC Med Res Methodol), 2016
Jared Katzman
Uri Shaham
Jonathan Bates
A. Cloninger
Tingting Jiang
Y. Kluger
BDLCMLOOD
658
1,508
0
02 Jun 2016
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