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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
QReLU and m-QReLU: Two novel quantum activation functions to aid medical
  diagnostics
QReLU and m-QReLU: Two novel quantum activation functions to aid medical diagnostics
Luca Parisi
D. Neagu
R. Ma
F. Campean
MedIm
98
59
0
15 Oct 2020
Multi-Agent Trust Region Policy Optimization
Multi-Agent Trust Region Policy Optimization
Hepeng Li
Haibo He
401
58
0
15 Oct 2020
EnCoD: Distinguishing Compressed and Encrypted File Fragments
EnCoD: Distinguishing Compressed and Encrypted File Fragments
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
122
22
0
15 Oct 2020
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks
  with Symmetric Splitting
Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting
Adam D. Cobb
Brian Jalaian
BDL
226
86
0
14 Oct 2020
Error-guided likelihood-free MCMC
Error-guided likelihood-free MCMC
Volodimir Begy
Erich Schikuta
204
3
0
13 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial
  Variable Embeddings
The Traveling Observer Model: Multi-task Learning Through Spatial Variable EmbeddingsInternational Conference on Learning Representations (ICLR), 2020
Elliot Meyerson
Risto Miikkulainen
369
12
0
05 Oct 2020
On the Universality of the Double Descent Peak in Ridgeless Regression
On the Universality of the Double Descent Peak in Ridgeless RegressionInternational Conference on Learning Representations (ICLR), 2020
David Holzmüller
514
14
0
05 Oct 2020
Normalization Techniques in Training DNNs: Methodology, Analysis and
  Application
Normalization Techniques in Training DNNs: Methodology, Analysis and ApplicationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Lei Huang
Jie Qin
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
AI4CE
355
384
0
27 Sep 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
949
90
0
17 Sep 2020
Activate or Not: Learning Customized Activation
Activate or Not: Learning Customized ActivationComputer Vision and Pattern Recognition (CVPR), 2020
Ningning Ma
Xinming Zhang
Ming Liu
Jian Sun
228
132
0
10 Sep 2020
CuratorNet: Visually-aware Recommendation of Art Images
CuratorNet: Visually-aware Recommendation of Art Images
Pablo Messina
Manuel Cartagena
Patricio Cerda
Felipe del-Rio
Denis Parra
154
16
0
09 Sep 2020
Deep Ice Layer Tracking and Thickness Estimation using Fully
  Convolutional Networks
Deep Ice Layer Tracking and Thickness Estimation using Fully Convolutional Networks
D. Varshney
Maryam Rahnemoonfar
M. Yari
John Paden
127
31
0
01 Sep 2020
Anomaly Detection by Recombining Gated Unsupervised Experts
Anomaly Detection by Recombining Gated Unsupervised ExpertsIEEE International Joint Conference on Neural Network (IJCNN), 2020
Jan-Philipp Schulze
Philip Sperl
Konstantin Böttinger
309
1
0
31 Aug 2020
NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
NAS-DIP: Learning Deep Image Prior with Neural Architecture SearchEuropean Conference on Computer Vision (ECCV), 2020
Yunpeng Chen
Chen Gao
Esther Robb
Jia-Bin Huang
177
59
0
26 Aug 2020
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment
  in COVID-19 Pandemic
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 PandemicmedRxiv (medRxiv), 2020
Mahdi Rezaei
Mohsen Azarmi
302
159
0
26 Aug 2020
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in
  Non-ideal Audio Signals
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Non-ideal Audio Signals
Anurag Chowdhury
Arun Ross
96
2
0
26 Aug 2020
Robust Handwriting Recognition with Limited and Noisy Data
Robust Handwriting Recognition with Limited and Noisy Data
Hai Pham
Amrith Rajagopal Setlur
Saket Dingliwal
Tzu-Hsiang Lin
Barnabás Póczós
K. Huang
Zhu Li
Jae Lim
Collin McCormack
Tam Vu
NoLa
121
8
0
18 Aug 2020
Complementary Language Model and Parallel Bi-LRNN for False Trigger
  Mitigation
Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation
Rishika Agarwal
Xiaochuan Niu
Pranay Dighe
Srikanth Vishnubhotla
Sameer Badaskar
Devang Naik
88
3
0
18 Aug 2020
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical
  Attacks on Machine Learning for Windows Malware Detection
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
Christian Scano
Scott E. Coull
Battista Biggio
Giovanni Lagorio
A. Armando
Fabio Roli
AAML
248
66
0
17 Aug 2020
Null-sampling for Interpretable and Fair Representations
Null-sampling for Interpretable and Fair RepresentationsEuropean Conference on Computer Vision (ECCV), 2020
T. Kehrenberg
Myles Bartlett
Oliver Thomas
Novi Quadrianto
OOD
112
30
0
12 Aug 2020
Large-Scale Analysis of Iliopsoas Muscle Volumes in the UK Biobank
Large-Scale Analysis of Iliopsoas Muscle Volumes in the UK BiobankScientific Reports (Sci Rep), 2020
J. Fitzpatrick
Nicolas Basty
M. Cule
Yi Liu
Jimmy D Bell
Elizabeth Louise Thomas
Brandon Whitcher
140
24
0
12 Aug 2020
Unified Representation Learning for Cross Model Compatibility
Unified Representation Learning for Cross Model CompatibilityBritish Machine Vision Conference (BMVC), 2020
Chien-Yi Wang
Ya-Liang Chang
Shang-Ta Yang
Dong Chen
S. Lai
CVBM
195
34
0
11 Aug 2020
Learning Invariant Feature Representation to Improve Generalization
  across Chest X-ray Datasets
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
S. Ghimire
Satyananda Kashyap
Joy T. Wu
Alexandros Karargyris
Mehdi Moradi
OOD
155
8
0
04 Aug 2020
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive
  Surveillance of COVID-19 Using Heterogeneous Features and their Interactions
DeepCOVIDNet: An Interpretable Deep Learning Model for Predictive Surveillance of COVID-19 Using Heterogeneous Features and their InteractionsIEEE Access (IEEE Access), 2020
Ankit Ramchandani
Chao Fan
Ali Mostafavi
132
81
0
31 Jul 2020
Funnel Activation for Visual Recognition
Funnel Activation for Visual RecognitionEuropean Conference on Computer Vision (ECCV), 2020
Ningning Ma
Xinming Zhang
Jian Sun
ObjD
208
97
0
23 Jul 2020
Sorted Pooling in Convolutional Networks for One-shot Learning
Sorted Pooling in Convolutional Networks for One-shot Learning
András Horváth
FAttMLT
139
1
0
20 Jul 2020
Modern Hopfield Networks and Attention for Immune Repertoire
  Classification
Modern Hopfield Networks and Attention for Immune Repertoire ClassificationbioRxiv (bioRxiv), 2020
Michael Widrich
Bernhard Schafl
Hubert Ramsauer
Milena Pavlović
Lukas Gruber
...
Johannes Brandstetter
G. K. Sandve
Victor Greiff
Sepp Hochreiter
Günter Klambauer
417
128
0
16 Jul 2020
Hopfield Networks is All You Need
Hopfield Networks is All You NeedInternational Conference on Learning Representations (ICLR), 2020
Hubert Ramsauer
Bernhard Schafl
Johannes Lehner
Philipp Seidl
Michael Widrich
...
David P. Kreil
Michael K Kopp
Günter Klambauer
Johannes Brandstetter
Sepp Hochreiter
465
544
0
16 Jul 2020
Attention as Activation
Attention as ActivationInternational Conference on Pattern Recognition (ICPR), 2020
Yimian Dai
Stefan Oehmcke
Fabian Gieseke
Yiquan Wu
Kobus Barnard
129
10
0
15 Jul 2020
Adversarial Machine Learning Attacks and Defense Methods in the Cyber
  Security Domain
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
Ishai Rosenberg
A. Shabtai
Yuval Elovici
Lior Rokach
AAML
246
12
0
05 Jul 2020
Age-Oriented Face Synthesis with Conditional Discriminator Pool and
  Adversarial Triplet Loss
Age-Oriented Face Synthesis with Conditional Discriminator Pool and Adversarial Triplet Loss
Haoyi Wang
Victor Sanchez
Chang-Tsun Li
GANCVBM
190
14
0
01 Jul 2020
On Cokriging, Neural Networks, and Spatial Blind Source Separation for
  Multivariate Spatial Prediction
On Cokriging, Neural Networks, and Spatial Blind Source Separation for Multivariate Spatial Prediction
C. Muehlmann
K. Nordhausen
Mengxi Yi
150
14
0
01 Jul 2020
Deep Isometric Learning for Visual Recognition
Deep Isometric Learning for Visual Recognition
Haozhi Qi
Chong You
Xinyu Wang
Yi-An Ma
Jitendra Malik
VLM
195
57
0
30 Jun 2020
Graph Clustering with Graph Neural Networks
Graph Clustering with Graph Neural Networks
Anton Tsitsulin
John Palowitch
Bryan Perozzi
Emmanuel Müller
GNNAI4CE
396
358
0
30 Jun 2020
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in
  Type-1 Diabetes
GLYFE: Review and Benchmark of Personalized Glucose Predictive Models in Type-1 Diabetes
Maxime De Bois
M. Ammi
M. El-Yacoubi
OOD
145
32
0
29 Jun 2020
Duodepth: Static Gesture Recognition Via Dual Depth Sensors
Duodepth: Static Gesture Recognition Via Dual Depth Sensors
Ilya Chugunov
A. Zakhor
3DPC
57
2
0
25 Jun 2020
AReLU: Attention-based Rectified Linear Unit
AReLU: Attention-based Rectified Linear Unit
Dengsheng Chen
Jun Li
Kai Xu
210
25
0
24 Jun 2020
Efficient Hyperparameter Optimization in Deep Learning Using a Variable
  Length Genetic Algorithm
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm
Xueli Xiao
Ming Yan
S. Basodi
Chunyan Ji
Yi Pan
159
115
0
23 Jun 2020
Bidirectionally Self-Normalizing Neural Networks
Bidirectionally Self-Normalizing Neural Networks
Yao Lu
Stephen Gould
Thalaiyasingam Ajanthan
ODL
138
12
0
22 Jun 2020
On the effect of normalization layers on Differentially Private training
  of deep Neural networks
On the effect of normalization layers on Differentially Private training of deep Neural networks
A. Davody
David Ifeoluwa Adelani
Thomas Kleinbauer
Dietrich Klakow
140
9
0
19 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and
  Adversarial Robustness
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAMLFAtt
290
43
0
16 Jun 2020
Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face
  Recognition
Towards Gender-Neutral Face Descriptors for Mitigating Bias in Face Recognition
Prithviraj Dhar
Joshua Gleason
Hossein Souri
Carlos D. Castillo
Rama Chellappa
FaMLCVBM
246
12
0
14 Jun 2020
Power Consumption Variation over Activation Functions
Power Consumption Variation over Activation Functions
Leon Derczynski
133
8
0
12 Jun 2020
Kernelized information bottleneck leads to biologically plausible
  3-factor Hebbian learning in deep networks
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networksNeural Information Processing Systems (NeurIPS), 2020
Roman Pogodin
P. Latham
388
41
0
12 Jun 2020
Understanding and Resolving Performance Degradation in Graph
  Convolutional Networks
Understanding and Resolving Performance Degradation in Graph Convolutional NetworksInternational Conference on Information and Knowledge Management (CIKM), 2020
Kuangqi Zhou
Yanfei Dong
Kaixin Wang
W. Lee
Bryan Hooi
Huan Xu
Jiashi Feng
GNNBDL
286
104
0
12 Jun 2020
Optimizing generalization on the train set: a novel gradient-based
  framework to train parameters and hyperparameters simultaneously
Optimizing generalization on the train set: a novel gradient-based framework to train parameters and hyperparameters simultaneously
Karim Lounici
Katia Méziani
Benjamin Riu
155
1
0
11 Jun 2020
Interpretable Visualizations with Differentiating Embedding Networks
Interpretable Visualizations with Differentiating Embedding Networks
Isaac Robinson
DRL
94
3
0
11 Jun 2020
Discovering Parametric Activation Functions
Discovering Parametric Activation Functions
G. Bingham
Risto Miikkulainen
ODL
372
82
0
05 Jun 2020
Refined Continuous Control of DDPG Actors via Parametrised Activation
Refined Continuous Control of DDPG Actors via Parametrised Activation
M. Hossny
Julie Iskander
Mohammed Attia
Khaled Saleh
116
7
0
04 Jun 2020
Modelling of daily reference evapotranspiration using deep neural
  network in different climates
Modelling of daily reference evapotranspiration using deep neural network in different climates
Atilla Özgür
S. Yamaç
220
6
0
02 Jun 2020
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