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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
Online Second Order Methods for Non-Convex Stochastic Optimizations
Online Second Order Methods for Non-Convex Stochastic Optimizations
Xi-Lin Li
OffRL
ODL
23
4
0
26 Mar 2018
Generalized Hadamard-Product Fusion Operators for Visual Question
  Answering
Generalized Hadamard-Product Fusion Operators for Visual Question Answering
Brendan Duke
Graham W. Taylor
28
8
0
26 Mar 2018
Lifting Layers: Analysis and Applications
Lifting Layers: Analysis and Applications
Peter Ochs
Tim Meinhardt
Laura Leal-Taixe
Michael Möller
19
7
0
23 Mar 2018
Deep learning improved by biological activation functions
Deep learning improved by biological activation functions
Gardave S. Bhumbra
9
6
0
19 Mar 2018
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
V. Kumar
Stefan Milz
Martin Simon
Christian Witt
Karl Amende
Johannes Petzold
S. Yogamani
Timo Pech
MDE
15
48
0
16 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
Zhourong Chen
Xiaopeng Li
N. Zhang
6
2
0
16 Mar 2018
Neural Network Quine
Neural Network Quine
Oscar Chang
Hod Lipson
11
23
0
15 Mar 2018
Deep Architectures for Learning Context-dependent Ranking Functions
Deep Architectures for Learning Context-dependent Ranking Functions
Karlson Pfannschmidt
Pritha Gupta
Eyke Hüllermeier
11
10
0
15 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Xiaopeng Li
Zhourong Chen
N. Zhang
11
0
0
14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
36
1,303
0
12 Mar 2018
Generating Artificial Data for Private Deep Learning
Generating Artificial Data for Private Deep Learning
Aleksei Triastcyn
Boi Faltings
13
48
0
08 Mar 2018
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation
  of Histopathological Images
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images
Yuxin Cui
Guiying Zhang
Zhonghao Liu
Zheng Xiong
Jianjun Hu
14
116
0
07 Mar 2018
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range
  Expansion from Low Dynamic Range Content
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content
Demetris Marnerides
Thomas Bashford-Rogers
Jonathan Hatchett
Kurt Debattista
19
264
0
06 Mar 2018
Norm matters: efficient and accurate normalization schemes in deep
  networks
Norm matters: efficient and accurate normalization schemes in deep networks
Elad Hoffer
Ron Banner
Itay Golan
Daniel Soudry
OffRL
12
178
0
05 Mar 2018
How to Start Training: The Effect of Initialization and Architecture
How to Start Training: The Effect of Initialization and Architecture
Boris Hanin
David Rolnick
8
254
0
05 Mar 2018
Complex-valued Neural Networks with Non-parametric Activation Functions
Complex-valued Neural Networks with Non-parametric Activation Functions
Simone Scardapane
S. Van Vaerenbergh
Amir Hussain
A. Uncini
20
81
0
22 Feb 2018
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
Learning Deep Convolutional Networks for Demosaicing
Learning Deep Convolutional Networks for Demosaicing
Nai-Sheng Syu
Yu-Sheng Chen
Yung-Yu Chuang
24
74
0
11 Feb 2018
Small nonlinearities in activation functions create bad local minima in
  neural networks
Small nonlinearities in activation functions create bad local minima in neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
ODL
20
93
0
10 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks
VIBNN: Hardware Acceleration of Bayesian Neural Networks
R. Cai
Ao Ren
Ning Liu
Caiwen Ding
Luhao Wang
Xuehai Qian
Massoud Pedram
Yanzhi Wang
BDL
34
87
0
02 Feb 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
21
54
0
29 Jan 2018
E-swish: Adjusting Activations to Different Network Depths
E-swish: Adjusting Activations to Different Network Depths
Eric Alcaide
LLMSV
24
35
0
22 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
17
105
0
19 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
16
309
0
16 Jan 2018
Which Neural Net Architectures Give Rise To Exploding and Vanishing
  Gradients?
Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?
Boris Hanin
12
254
0
11 Jan 2018
A practical tutorial on autoencoders for nonlinear feature fusion:
  Taxonomy, models, software and guidelines
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
D. Charte
F. Charte
S. García
M. J. D. Jesus
Francisco Herrera
30
256
0
04 Jan 2018
Learning to Run with Actor-Critic Ensemble
Learning to Run with Actor-Critic Ensemble
Zhewei Huang
Shuchang Zhou
BoEr Zhuang
Xinyu Zhou
OffRL
6
24
0
25 Dec 2017
A Flexible Approach to Automated RNN Architecture Generation
A Flexible Approach to Automated RNN Architecture Generation
Martin Schrimpf
Stephen Merity
James Bradbury
R. Socher
21
15
0
20 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning
Adversarial Examples: Attacks and Defenses for Deep Learning
Xiaoyong Yuan
Pan He
Qile Zhu
Xiaolin Li
SILM
AAML
22
1,605
0
19 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative
  for Training Deep Neural Networks for Reinforcement Learning
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
F. Such
Vashisht Madhavan
Edoardo Conti
Joel Lehman
Kenneth O. Stanley
Jeff Clune
24
685
0
18 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output
  Gradients
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients
Joel Lehman
Jay Chen
Jeff Clune
Kenneth O. Stanley
15
93
0
18 Dec 2017
Automatic segmentation method of pelvic floor levator hiatus in
  ultrasound using a self-normalising neural network
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network
E. Bonmati
Yipeng Hu
Nikhil Sindhwani
H. Dietz
Jan D'hooge
D. Barratt
Jan Deprest
Tom Kamiel Magda Vercauteren
23
30
0
18 Dec 2017
The exploding gradient problem demystified - definition, prevalence,
  impact, origin, tradeoffs, and solutions
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions
George Philipp
D. Song
J. Carbonell
ODL
27
46
0
15 Dec 2017
Pointwise Convolutional Neural Networks
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC
3DV
11
500
0
14 Dec 2017
Over the Air Deep Learning Based Radio Signal Classification
Over the Air Deep Learning Based Radio Signal Classification
Tim O'Shea
Tamoghna Roy
T. Clancy
11
1,064
0
13 Dec 2017
Solving internal covariate shift in deep learning with linked neurons
Solving internal covariate shift in deep learning with linked neurons
Carles Roger Riera Molina
O. Vila
OffRL
13
3
0
07 Dec 2017
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for
  Predicting Chemical Properties
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties
Garrett B. Goh
Nathan Oken Hodas
Charles Siegel
Abhinav Vishnu
22
139
0
06 Dec 2017
Gaussian Process Neurons Learn Stochastic Activation Functions
Gaussian Process Neurons Learn Stochastic Activation Functions
Sebastian Urban
Marcus Basalla
Patrick van der Smagt
BDL
33
4
0
29 Nov 2017
Predicting Adolescent Suicide Attempts with Neural Networks
Predicting Adolescent Suicide Attempts with Neural Networks
Harish S. Bhat
S. Goldman-Mellor
16
26
0
28 Nov 2017
Application of generative autoencoder in de novo molecular design
Application of generative autoencoder in de novo molecular design
T. Blaschke
Marcus Olivecrona
O. Engkvist
J. Bajorath
Hongming Chen
AI4CE
28
342
0
21 Nov 2017
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
24
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
27
578
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
11
367
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
13
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
14
140
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
13
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
17
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
24
42
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
6
72
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
11
7
0
17 Oct 2017
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