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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
Few-Shot Keyword Spotting in Any Language
Few-Shot Keyword Spotting in Any LanguageInterspeech (Interspeech), 2021
Mark Mazumder
Colby R. Banbury
Josh Meyer
Pete Warden
Vijay Janapa Reddi
259
53
0
03 Apr 2021
Deep Learning of Conjugate Mappings
Deep Learning of Conjugate Mappings
J. Bramburger
S. Patterson
J. Nathan Kutz
150
18
0
01 Apr 2021
Reliable Detection of Compressed and Encrypted Data
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
137
21
0
31 Mar 2021
Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
Under Pressure: Learning to Detect Slip with Barometric Tactile Sensors
Abhinav Grover
C. Grebe
Philippe Nadeau
Jonathan Kelly
360
7
0
24 Mar 2021
Paragraph-level Rationale Extraction through Regularization: A case
  study on European Court of Human Rights Cases
Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights CasesNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021
Ilias Chalkidis
Manos Fergadiotis
D. Tsarapatsanis
Nikolaos Aletras
Ion Androutsopoulos
Prodromos Malakasiotis
AILaw
200
132
0
24 Mar 2021
Initializing ReLU networks in an expressive subspace of weights
Initializing ReLU networks in an expressive subspace of weights
Dayal Singh
J. SreejithG
177
4
0
23 Mar 2021
Range-GAN: Range-Constrained Generative Adversarial Network for
  Conditioned Design Synthesis
Range-GAN: Range-Constrained Generative Adversarial Network for Conditioned Design SynthesisDesign Automation Conference (DAC), 2021
Amin Heyrani Nobari
Wei Chen
Faez Ahmed
GANAI4CE
164
15
0
10 Mar 2021
Proof-of-Learning: Definitions and Practice
Proof-of-Learning: Definitions and Practice
Hengrui Jia
Mohammad Yaghini
Christopher A. Choquette-Choo
Natalie Dullerud
Anvith Thudi
Varun Chandrasekaran
Nicolas Papernot
AAML
206
119
0
09 Mar 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
Pixel-wise Anomaly Detection in Complex Driving ScenesComputer Vision and Pattern Recognition (CVPR), 2021
Giancarlo Di Biase
Hermann Blum
Roland Siegwart
Cesar Cadena
UQCV
205
180
0
09 Mar 2021
Disentangling Geometric Deformation Spaces in Generative Latent Shape
  Models
Disentangling Geometric Deformation Spaces in Generative Latent Shape ModelsInternational Journal of Computer Vision (IJCV), 2021
Tristan Aumentado-Armstrong
Stavros Tsogkas
Sven J. Dickinson
Allan D. Jepson
OCLDRL
360
8
0
27 Feb 2021
Layer-Wise Interpretation of Deep Neural Networks Using Identity
  Initialization
Layer-Wise Interpretation of Deep Neural Networks Using Identity InitializationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
Shohei Kubota
Hideaki Hayashi
Tomohiro Hayase
S. Uchida
MILMAI4CE
134
1
0
26 Feb 2021
Do Transformer Modifications Transfer Across Implementations and
  Applications?
Do Transformer Modifications Transfer Across Implementations and Applications?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Sharan Narang
Hyung Won Chung
Yi Tay
W. Fedus
Thibault Févry
...
Wei Li
Nan Ding
Jake Marcus
Adam Roberts
Colin Raffel
218
134
0
23 Feb 2021
SSFG: Stochastically Scaling Features and Gradients for Regularizing
  Graph Convolutional Networks
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional NetworksIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Haimin Zhang
Min Xu
Guoqiang Zhang
Kenta Niwa
156
13
0
20 Feb 2021
Muddling Labels for Regularization, a novel approach to generalization
Muddling Labels for Regularization, a novel approach to generalization
Karim Lounici
Katia Méziani
Benjamin Riu
OOD
157
1
0
17 Feb 2021
MAIN: Multihead-Attention Imputation Networks
MAIN: Multihead-Attention Imputation NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2021
Spyridon Mouselinos
Kyriakos Polymenakos
A. Nikitakis
K. Kyriakopoulos
92
3
0
10 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures
Hyperparameter Optimization with Differentiable Metafeatures
H. Jomaa
Lars Schmidt-Thieme
Josif Grabocka
AI4CE
95
4
0
07 Feb 2021
Copula-based conformal prediction for Multi-Target Regression
Copula-based conformal prediction for Multi-Target RegressionPattern Recognition (Pattern Recogn.), 2021
S. Messoudi
Sebastien Destercke
Sylvain Rousseau
305
61
0
28 Jan 2021
Equilibrium Learning in Combinatorial Auctions: Computing Approximate
  Bayesian Nash Equilibria via Pseudogradient Dynamics
Equilibrium Learning in Combinatorial Auctions: Computing Approximate Bayesian Nash Equilibria via Pseudogradient Dynamics
Stefan Heidekrüger
P. Sutterer
Nils Kohring
Maximilian Fichtl
M. Bichler
158
7
0
28 Jan 2021
A Convolutional Neural Network based Cascade Reconstruction for the
  IceCube Neutrino Observatory
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory
R. Abbasi
M. Ackermann
J. Adams
J. Aguilar
M. Ahlers
...
Zifei Shan
J. Yáñez
S. Yoshida
T. Yuan
Zheng Zhang
148
56
0
27 Jan 2021
Activation Functions in Artificial Neural Networks: A Systematic
  Overview
Activation Functions in Artificial Neural Networks: A Systematic Overview
Johannes Lederer
FAttAI4CE
139
57
0
25 Jan 2021
Characterizing signal propagation to close the performance gap in
  unnormalized ResNets
Characterizing signal propagation to close the performance gap in unnormalized ResNetsInternational Conference on Learning Representations (ICLR), 2021
Andrew Brock
Soham De
Samuel L. Smith
393
134
0
21 Jan 2021
The Devils in the Point Clouds: Studying the Robustness of Point Cloud
  Convolutions
The Devils in the Point Clouds: Studying the Robustness of Point Cloud Convolutions
Xingyi Li
Wenxuan Wu
Xiaoli Z. Fern
Li Fuxin
3DPC
205
4
0
19 Jan 2021
MC-LSTM: Mass-Conserving LSTM
MC-LSTM: Mass-Conserving LSTMInternational Conference on Machine Learning (ICML), 2021
Pieter-Jan Hoedt
Frederik Kratzert
D. Klotz
Christina Halmich
Markus Holzleitner
G. Nearing
Sepp Hochreiter
Günter Klambauer
254
70
0
13 Jan 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For
  Adversarial Robustness in Federated Learning
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated LearningComputers & security (Comput. Secur.), 2021
Olakunle Ibitoye
M. O. Shafiq
Ashraf Matrawy
FedML
132
23
0
08 Jan 2021
Reconstructing Patchy Reionization with Deep Learning
Reconstructing Patchy Reionization with Deep Learning
E. Guzman
Joel Meyers
161
6
0
04 Jan 2021
Detecting Road Obstacles by Erasing Them
Detecting Road Obstacles by Erasing ThemIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Krzysztof Lis
S. Honari
Pascal Fua
Mathieu Salzmann
UQCV
390
51
0
25 Dec 2020
Early Indicators of Scientific Impact: Predicting Citations with
  Altmetrics
Early Indicators of Scientific Impact: Predicting Citations with Altmetrics
A. Akella
Hamed Alhoori
Pavan Ravikanth Kondamudi
Cole Freeman
Haiming Zhou
128
74
0
25 Dec 2020
Sensitivity - Local Index to Control Chaoticity or Gradient Globally -
Sensitivity - Local Index to Control Chaoticity or Gradient Globally -Neural Networks (NN), 2020
K. Shibata
Takuya Ejima
Yuki Tokumaru
Toshitaka Matsuki
69
6
0
24 Dec 2020
Image Translation via Fine-grained Knowledge Transfer
Image Translation via Fine-grained Knowledge Transfer
Xuanhong Chen
Ziang Liu
Ting Qiu
Bingbing Ni
Naiyuan Liu
Xiwei Hu
Yuhan Li
112
0
0
21 Dec 2020
NeuralQAAD: An Efficient Differentiable Framework for High Resolution
  Point Cloud Compression
NeuralQAAD: An Efficient Differentiable Framework for High Resolution Point Cloud Compression
Nicolas Wagner
Ulrich Schwanecke
3DPC
158
0
0
15 Dec 2020
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang
A. Khetan
Milan Cvitkovic
Zohar Karnin
ViTLMTD
453
630
0
11 Dec 2020
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid
  ASR Systems
Frame-level SpecAugment for Deep Convolutional Neural Networks in Hybrid ASR Systems
Xinwei Li
Yuanyuan Zhang
Xiaodan Zhuang
Daben Liu
189
7
0
07 Dec 2020
Generative Adversarial User Privacy in Lossy Single-Server Information
  Retrieval
Generative Adversarial User Privacy in Lossy Single-Server Information Retrieval
Chung-Wei Weng
Yauhen Yakimenka
Hsuan-Yin Lin
E. Rosnes
Joerg Kliewer
497
3
0
07 Dec 2020
Handling Object Symmetries in CNN-based Pose Estimation
Handling Object Symmetries in CNN-based Pose EstimationIEEE International Conference on Robotics and Automation (ICRA), 2020
Jesse Richter-Klug
Udo Frese
244
12
0
26 Nov 2020
DeepTriage: Automated Transfer Assistance for Incidents in Cloud
  Services
DeepTriage: Automated Transfer Assistance for Incidents in Cloud ServicesKnowledge Discovery and Data Mining (KDD), 2020
P. Pham
Vivek Jain
Lukas Dauterman
Justin Ormont
Navendu Jain
206
11
0
25 Nov 2020
Comparisons among different stochastic selection of activation layers
  for convolutional neural networks for healthcare
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare
L. Nanni
A. Lumini
Stefano Ghidoni
Gianluca Maguolo
71
2
0
24 Nov 2020
Low PAPR waveform design for OFDM SYSTEM based on Convolutional
  Auto-Encoder
Low PAPR waveform design for OFDM SYSTEM based on Convolutional Auto-EncoderInternational Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS), 2020
Yara Huleihel
Eilam Ben-Dror
Haim Permuter
134
9
0
12 Nov 2020
Improving Model Accuracy for Imbalanced Image Classification Tasks by
  Adding a Final Batch Normalization Layer: An Empirical Study
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical StudyInternational Conference on Pattern Recognition (ICPR), 2020
Veysel Kocaman
O. M. Shir
Thomas Bäck
114
5
0
12 Nov 2020
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and
  Efficient Spatiotemporal Information Processing
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information ProcessingIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Zhenzhi Wu
Hehui Zhang
Yihan Lin
Guoqi Li
Meng Wang
Ye Tang
AI4TS
184
125
0
12 Nov 2020
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion
  Framework for Financial Trading Systems
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems
Pooja Gupta
Angshul Majumdar
Emilie Chouzenoux
Giovanni Chierchia
AI4TS
115
7
0
09 Nov 2020
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion
  Framework
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework
Pooja Gupta
Jyoti Maggu
A. Majumdar
Émilie Chouzenoux
Giovanni Chierchia
145
12
0
09 Nov 2020
ConFuse: Convolutional Transform Learning Fusion Framework For
  Multi-Channel Data Analysis
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis
Pooja Gupta
Jyoti Maggu
A. Majumdar
Émilie Chouzenoux
Giovanni Chierchia
AI4TS
234
3
0
09 Nov 2020
Leveraging an Efficient and Semantic Location Embedding to Seek New
  Ports of Bike Share Services
Leveraging an Efficient and Semantic Location Embedding to Seek New Ports of Bike Share Services
Yuan Wang
Chenwei Wang
Yinan Ling
Keita Yokoyama
Hsin-Tai Wu
Yi Fang
123
3
0
06 Nov 2020
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function
  For Deep Learning
Parametric Flatten-T Swish: An Adaptive Non-linear Activation Function For Deep Learning
Hock Hung Chieng
Noorhaniza Wahid
P. Ong
156
6
0
06 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation
  Learning
COOT: Cooperative Hierarchical Transformer for Video-Text Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Simon Ging
Mohammadreza Zolfaghari
Hamed Pirsiavash
Thomas Brox
ViTCLIP
204
178
0
01 Nov 2020
Estimating Multiplicative Relations in Neural Networks
Estimating Multiplicative Relations in Neural Networks
Bhaavan Goel
89
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0
28 Oct 2020
Multi-Class Zero-Shot Learning for Artistic Material Recognition
Multi-Class Zero-Shot Learning for Artistic Material Recognition
Alexander W. Olson
Andreea Cucu
Tom Bock
57
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0
26 Oct 2020
Deep learning prediction of patient response time course from early data
  via neural-pharmacokinetic/pharmacodynamic modeling
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling
James Lu
B. Bender
Jin Y. Jin
Y. Guan
151
54
0
22 Oct 2020
Complex data labeling with deep learning methods: Lessons from fisheries
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Complex data labeling with deep learning methods: Lessons from fisheries acoustics
J. M. Sarr
T. Brochier
P. Brehmer
Y. Perrot
A. Bah
Abdoulaye Sarré
M. A. Jeyid
M. Sidibeh
S. E. Ayoubi
108
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21 Oct 2020
Smooth activations and reproducibility in deep networks
Smooth activations and reproducibility in deep networks
G. Shamir
Dong Lin
Lorenzo Coviello
252
24
0
20 Oct 2020
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