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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
High-Level Control of Drum Track Generation Using Learned Patterns of
  Rhythmic Interaction
High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic InteractionIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Stefan Lattner
M. Grachten
174
36
0
02 Aug 2019
Multi-Modal Adversarial Autoencoders for Recommendations of Citations
  and Subject Labels
Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject LabelsUser Modeling, Adaptation, and Personalization (UMAP), 2018
Lukas Galke
Florian Mai
Iacopo Vagliano
A. Scherp
91
26
0
22 Jul 2019
A Unified Deep Framework for Joint 3D Pose Estimation and Action
  Recognition from a Single RGB Camera
A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB CameraItalian National Conference on Sensors (INS), 2019
H. Pham
H. Salmane
L. Khoudour
Alain Crouzil
Pablo Zegers
S. Velastín
110
48
0
16 Jul 2019
Meta-Learning for Black-box Optimization
Meta-Learning for Black-box Optimization
T. Vishnu
Pankaj Malhotra
Jyoti Narwariya
Lovekesh Vig
Gautam M. Shroff
187
20
0
16 Jul 2019
Quant GANs: Deep Generation of Financial Time Series
Quant GANs: Deep Generation of Financial Time Series
Magnus Wiese
R. Knobloch
R. Korn
Peter Kretschmer
GANAI4TSAIFin
259
324
0
15 Jul 2019
Robust Variational Autoencoders for Outlier Detection and Repair of
  Mixed-Type Data
Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Simao Eduardo
A. Nazábal
Christopher K. I. Williams
Charles Sutton
DRL
182
34
0
15 Jul 2019
Order and Chaos: NTK views on DNN Normalization, Checkerboard and
  Boundary Artifacts
Order and Chaos: NTK views on DNN Normalization, Checkerboard and Boundary Artifacts
Arthur Jacot
Franck Gabriel
François Ged
Clément Hongler
134
24
0
11 Jul 2019
Learning to Traverse Latent Spaces for Musical Score Inpainting
Learning to Traverse Latent Spaces for Musical Score InpaintingInternational Society for Music Information Retrieval Conference (ISMIR), 2019
Ashis Pati
Alexander Lerch
Gaëtan Hadjeres
219
59
0
02 Jul 2019
Merge and Label: A novel neural network architecture for nested NER
Merge and Label: A novel neural network architecture for nested NERAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Joseph Fisher
Andreas Vlachos
200
76
0
30 Jun 2019
Random Vector Functional Link Neural Network based Ensemble Deep
  Learning
Random Vector Functional Link Neural Network based Ensemble Deep LearningPattern Recognition (Pattern Recognit.), 2019
Rakesh Katuwal
Ponnuthurai Nagaratnam Suganthan
M. Tanveer
159
192
0
30 Jun 2019
EmotionX-KU: BERT-Max based Contextual Emotion Classifier
EmotionX-KU: BERT-Max based Contextual Emotion Classifier
Kisu Yang
Dongyub Lee
Taesun Whang
Seolhwa Lee
Heuiseok Lim
177
33
0
27 Jun 2019
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with
  Stacked Generative Adversarial Networks
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial NetworksIEEE Robotics and Automation Letters (RA-L), 2019
Tuo Feng
Dongbing Gu
MDEGAN
190
73
0
20 Jun 2019
Predicting the Voltage Distribution for Low Voltage Networks using Deep
  Learning
Predicting the Voltage Distribution for Low Voltage Networks using Deep LearningIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2019
M. Mokhtar
Valentin Robu
David Flynn
Ciaran Higgins
Jim Whyte
Caroline Loughran
Fiona Fulton
89
9
0
19 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization
Four Things Everyone Should Know to Improve Batch NormalizationInternational Conference on Learning Representations (ICLR), 2019
Cecilia Summers
M. Dinneen
187
56
0
09 Jun 2019
A novel approach to model exploration for value function learning
A novel approach to model exploration for value function learning
Zlatan Ajanović
Halil Beglerovic
B. Lacevic
187
1
0
06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset ShiftNeural Information Processing Systems (NeurIPS), 2019
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
1.1K
1,919
0
06 Jun 2019
Training Neural Response Selection for Task-Oriented Dialogue Systems
Training Neural Response Selection for Task-Oriented Dialogue SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Matthew Henderson
Ivan Vulić
D. Gerz
I. Casanueva
Paweł Budzianowski
Sam Coope
Georgios P. Spithourakis
Tsung-Hsien Wen
N. Mrksic
Pei-hao Su
217
113
0
04 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor
  Prediction
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor PredictionNeural Information Processing Systems (NeurIPS), 2019
Alban Laflaquière
Michael Garcia Ortiz
129
6
0
04 Jun 2019
Self-supervised Body Image Acquisition Using a Deep Neural Network for
  Sensorimotor Prediction
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor PredictionJoint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), 2019
Alban Laflaquière
Verena V. Hafner
83
6
0
03 Jun 2019
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training
  Neural Networks
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural NetworksInternational Conference on Learning Representations (ICLR), 2019
Joonyoung Yi
Juhyuk Lee
Kwang Joon Kim
Sung Ju Hwang
Eunho Yang
VLM
244
28
0
01 Jun 2019
Dataset2Vec: Learning Dataset Meta-Features
Dataset2Vec: Learning Dataset Meta-FeaturesData mining and knowledge discovery (DMKD), 2019
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
SSL
307
70
0
27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Kumar Shridhar
JoonHo Lee
Hideaki Hayashi
Purvanshi Mehta
Brian Kenji Iwana
Seokjun Kang
S. Uchida
Sheraz Ahmed
Andreas Dengel
DiffMAAML
181
35
0
26 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Efficient Neural Task Adaptation by Maximum Entropy Initialization
Farshid Varno
Behrouz Haji Soleimani
Marzie Saghayi
Di-Jorio Lisa
Stan Matwin
AAML
180
6
0
25 May 2019
Hebbian-Descent
Hebbian-Descent
Jan Melchior
Laurenz Wiskott
118
9
0
25 May 2019
HDI-Forest: Highest Density Interval Regression Forest
HDI-Forest: Highest Density Interval Regression ForestInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Lin Zhu
Jiaxing Lu
Yihong Chen
169
6
0
24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel
  Orange
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel OrangeMachine Vision and Applications (MVA), 2019
Xiaoye Sun
Gongyang Li
Shaoyun Xu
138
3
0
24 May 2019
Universal Approximation with Deep Narrow Networks
Universal Approximation with Deep Narrow NetworksAnnual Conference Computational Learning Theory (COLT), 2019
Patrick Kidger
Terry Lyons
334
396
0
21 May 2019
Learning Compact Neural Networks Using Ordinary Differential Equations
  as Activation Functions
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions
MohamadAli Torkamani
Phillip Wallis
Shiv Shankar
Pedram Rooshenas
94
5
0
19 May 2019
Speaker-Independent Speech-Driven Visual Speech Synthesis using
  Domain-Adapted Acoustic Models
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic ModelsInternational Conference on Multimodal Interaction (ICMI), 2019
Ahmed Hussen Abdelaziz
B. Theobald
Justin Binder
Gabriele Fanelli
Paul Dixon
N. Apostoloff
T. Weise
Sachin Kajareker
126
11
0
15 May 2019
Nonlinear Semi-Parametric Models for Survival Analysis
Nonlinear Semi-Parametric Models for Survival Analysis
Chirag Nagpal
R. Sangave
Amit Chahar
Parth Shah
A. Dubrawski
Bhiksha Raj
114
8
0
14 May 2019
Analyzing Adversarial Attacks Against Deep Learning for Intrusion
  Detection in IoT Networks
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT NetworksGlobal Communications Conference (GLOBECOM), 2019
Olakunle Ibitoye
Omair Shafiq
Ashraf Matrawy
139
191
0
13 May 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz
  Augmentation
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz AugmentationNeural Information Processing Systems (NeurIPS), 2019
Colin Wei
Tengyu Ma
375
122
0
09 May 2019
Improving Discrete Latent Representations With Differentiable
  Approximation Bridges
Improving Discrete Latent Representations With Differentiable Approximation BridgesIEEE International Joint Conference on Neural Network (IJCNN), 2019
Jason Ramapuram
Russ Webb
DRL
92
9
0
09 May 2019
Ensemble of Convolutional Neural Networks Trained with Different
  Activation Functions
Ensemble of Convolutional Neural Networks Trained with Different Activation FunctionsExpert systems with applications (ESWA), 2019
Gianluca Maguolo
L. Nanni
Stefano Ghidoni
174
69
0
07 May 2019
Few-Shot Adaptive Gaze Estimation
Few-Shot Adaptive Gaze EstimationIEEE International Conference on Computer Vision (ICCV), 2019
Seonwook Park
Shalini De Mello
Pavlo Molchanov
Umar Iqbal
Otmar Hilliges
Jan Kautz
158
227
0
06 May 2019
Improved Classification Rates for Localized SVMs
Improved Classification Rates for Localized SVMsJournal of machine learning research (JMLR), 2019
Ingrid Blaschzyk
Ingo Steinwart
197
5
0
04 May 2019
Static Activation Function Normalization
Static Activation Function Normalization
Pierre Harvey Richemond
Wenhan Luo
39
0
0
03 May 2019
Effectiveness of Self Normalizing Neural Networks for Text
  Classification
Effectiveness of Self Normalizing Neural Networks for Text ClassificationConference on Intelligent Text Processing and Computational Linguistics (CICLing), 2019
Avinash Madasu
Anvesh Rao Vijjini
98
8
0
03 May 2019
Continuous Learning for Large-scale Personalized Domain Classification
Continuous Learning for Large-scale Personalized Domain ClassificationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2019
Han Li
Jihwan Lee
Sidharth Mudgal
R. Sarikaya
Young-Bum Kim
CLL
196
8
0
02 May 2019
Sequence to sequence deep learning models for solar irradiation
  forecasting
Sequence to sequence deep learning models for solar irradiation forecasting
B. Mukhoty
Vikas Maurya
S. Shukla
53
35
0
30 Apr 2019
MinCall - MinION end2end convolutional deep learning basecaller
MinCall - MinION end2end convolutional deep learning basecaller
N. Miculinic
Marko Ratkovic
M. Šikić
66
12
0
22 Apr 2019
Detecting the Unexpected via Image Resynthesis
Detecting the Unexpected via Image Resynthesis
Krzysztof Lis
Krishna Kanth Nakka
Pascal Fua
Mathieu Salzmann
UQCV
271
205
0
16 Apr 2019
Iterative Normalization: Beyond Standardization towards Efficient
  Whitening
Iterative Normalization: Beyond Standardization towards Efficient Whitening
Lei Huang
Yi Zhou
Fan Zhu
Li Liu
Ling Shao
176
175
0
06 Apr 2019
Regularizing Activation Distribution for Training Binarized Deep
  Networks
Regularizing Activation Distribution for Training Binarized Deep Networks
Ruizhou Ding
Ting-Wu Chin
Z. Liu
Diana Marculescu
MQ
216
153
0
04 Apr 2019
A Sober Look at Neural Network Initializations
A Sober Look at Neural Network Initializations
Ingo Steinwart
52
9
0
27 Mar 2019
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural
  Network Using Physiological Time Series
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series
B. Pourbabaee
Matthew Howe-Patterson
Matthew R. Patterson
F. Bénard
MLAU
48
0
0
11 Mar 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Likelihood-free MCMC with Amortized Approximate Ratio Estimators
Joeri Hermans
Volodimir Begy
Gilles Louppe
421
20
0
10 Mar 2019
Interpretable Deep Learning in Drug Discovery
Interpretable Deep Learning in Drug Discovery
Kristina Preuer
Günter Klambauer
F. Rippmann
Sepp Hochreiter
Thomas Unterthiner
188
100
0
07 Mar 2019
Copying Machine Learning Classifiers
Copying Machine Learning ClassifiersIEEE Access (IEEE Access), 2019
Irene Unceta
Jordi Nin
O. Pujol
194
19
0
05 Mar 2019
On measuring the iconicity of a face
On measuring the iconicity of a faceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019
Prithviraj Dhar
Carlos D. Castillo
Rama Chellappa
CVBM
149
11
0
04 Mar 2019
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