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1706.02515
Cited By
Self-Normalizing Neural Networks
8 June 2017
G. Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
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Papers citing
"Self-Normalizing Neural Networks"
50 / 866 papers shown
Title
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Deep learning improved by biological activation functions
Gardave S. Bhumbra
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Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision
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Stefan Milz
Martin Simon
Christian Witt
Karl Amende
Johannes Petzold
S. Yogamani
Timo Pech
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16 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion
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Xiaopeng Li
N. Zhang
6
2
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Neural Network Quine
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Hod Lipson
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15 Mar 2018
Deep Architectures for Learning Context-dependent Ranking Functions
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Eyke Hüllermeier
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15 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive Fields
Xiaopeng Li
Zhourong Chen
N. Zhang
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0
0
14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang
P. Patras
Hamed Haddadi
36
1,303
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12 Mar 2018
Generating Artificial Data for Private Deep Learning
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Boi Faltings
13
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0
08 Mar 2018
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
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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
Elad Hoffer
Ron Banner
Itay Golan
Daniel Soudry
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12
178
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David Rolnick
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254
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Complex-valued Neural Networks with Non-parametric Activation Functions
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S. Van Vaerenbergh
Amir Hussain
A. Uncini
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81
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DVAE++: Discrete Variational Autoencoders with Overlapping Transformations
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W. Macready
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Amir Khoshaman
Evgeny Andriyash
37
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0
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Yu-Sheng Chen
Yung-Yu Chuang
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Small nonlinearities in activation functions create bad local minima in neural networks
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S. Sra
Ali Jadbabaie
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VIBNN: Hardware Acceleration of Bayesian Neural Networks
R. Cai
Ao Ren
Ning Liu
Caiwen Ding
Luhao Wang
Xuehai Qian
Massoud Pedram
Yanzhi Wang
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Learning Combinations of Activation Functions
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A. Rozza
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E-swish: Adjusting Activations to Different Network Depths
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Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image
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Gwon Hwan An
Suk-ju Kang
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17
105
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Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
16
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Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients?
Boris Hanin
12
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A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
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M. J. D. Jesus
Francisco Herrera
30
256
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Learning to Run with Actor-Critic Ensemble
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BoEr Zhuang
Xinyu Zhou
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A Flexible Approach to Automated RNN Architecture Generation
Martin Schrimpf
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21
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Adversarial Examples: Attacks and Defenses for Deep Learning
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SILM
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22
1,605
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Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
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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
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Jay Chen
Jeff Clune
Kenneth O. Stanley
15
93
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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
George Philipp
D. Song
J. Carbonell
ODL
27
46
0
15 Dec 2017
Pointwise Convolutional Neural Networks
Binh-Son Hua
Minh-Khoi Tran
Sai-Kit Yeung
3DPC
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500
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Over the Air Deep Learning Based Radio Signal Classification
Tim O'Shea
Tamoghna Roy
T. Clancy
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Solving internal covariate shift in deep learning with linked neurons
Carles Roger Riera Molina
O. Vila
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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
Sebastian Urban
Marcus Basalla
Patrick van der Smagt
BDL
33
4
0
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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
T. Blaschke
Marcus Olivecrona
O. Engkvist
J. Bajorath
Hongming Chen
AI4CE
28
342
0
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High-resolution Deep Convolutional Generative Adversarial Networks
J. Curtò
I. Zarza
Fernando De la Torre
Irwin King
Michael R. Lyu
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35
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A unified deep artificial neural network approach to partial differential equations in complex geometries
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K. Nystrom
AI4CE
27
578
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Improving Palliative Care with Deep Learning
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Kenneth Jung
S. Harman
L. Downing
A. Ng
N. Shah
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An Iterative Closest Points Approach to Neural Generative Models
Joose Rajamäki
Perttu Hämäläinen
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1
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EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
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E. Mason
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Ge Chen
14
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Deformable Deep Convolutional Generative Adversarial Network in Microwave Based Hand Gesture Recognition System
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Zhiguo Shi
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Empirical analysis of non-linear activation functions for Deep Neural Networks in classification tasks
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17
16
0
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Improving Deep Learning by Inverse Square Root Linear Units (ISRLUs)
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G. Delamarter
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42
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Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis
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RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN
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Mathías Etcheverry
Santiago Castro
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0
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