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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
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded
  Jerk, Acceleration and Velocity in Joint Space
TrueÆdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Jonas C. Kiemel
Robin Weitemeyer
Pascal Meissner
Torsten Kröger
TTA
172
3
0
30 May 2020
Modeling the Distribution of Normal Data in Pre-Trained Deep Features
  for Anomaly Detection
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly DetectionInternational Conference on Pattern Recognition (ICPR), 2020
Oliver Rippel
Patrick Mertens
Dorit Merhof
323
273
0
28 May 2020
Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster
  Lensing
Mass Estimation of Galaxy Clusters with Deep Learning II: CMB Cluster LensingAstrophysical Journal (ApJ), 2020
N. Gupta
C. Reichardt
239
14
0
28 May 2020
Catching Attention with Automatic Pull Quote Selection
Catching Attention with Automatic Pull Quote SelectionInternational Conference on Computational Linguistics (COLING), 2020
Tanner A. Bohn
Charles X. Ling
141
4
0
27 May 2020
Fractional moment-preserving initialization schemes for training deep
  neural networks
Fractional moment-preserving initialization schemes for training deep neural networks
Mert Gurbuzbalaban
Yuanhan Hu
231
3
0
25 May 2020
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN
Automated Copper Alloy Grain Size Evaluation Using a Deep-learning CNN
George S. Baggs
P. Guerrier
A. Loeb
Jason C. Jones
64
9
0
20 May 2020
Clinical Predictive Models for COVID-19: Systematic Study
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab
August DuMont Schütte
Benedikt Dietz
Stefan Bauer
OODELM
274
35
0
17 May 2020
Finet: Using Fine-grained Batch Normalization to Train Light-weight
  Neural Networks
Finet: Using Fine-grained Batch Normalization to Train Light-weight Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Wanling Gao
200
1
0
14 May 2020
The effect of Target Normalization and Momentum on Dying ReLU
The effect of Target Normalization and Momentum on Dying ReLU
Isac Arnekvist
J. Carvalho
Danica Kragic
J. A. Stork
106
18
0
13 May 2020
Normalized Convolutional Neural Network
Normalized Convolutional Neural Network
Dongsuk Kim
Geonhee Lee
Myungjae Lee
S. Kang
Dongmin Kim
195
1
0
11 May 2020
SentiBERT: A Transferable Transformer-Based Architecture for
  Compositional Sentiment Semantics
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics
Da Yin
Tao Meng
Kai-Wei Chang
337
148
0
08 May 2020
Model Reduction and Neural Networks for Parametric PDEs
Model Reduction and Neural Networks for Parametric PDEs
K. Bhattacharya
Bamdad Hosseini
Nikola B. Kovachki
Andrew M. Stuart
499
403
0
07 May 2020
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible
  Transformations
Sum-Product-Transform Networks: Exploiting Symmetries using Invertible TransformationsEuropean Workshop on Probabilistic Graphical Models (PGM), 2020
Tomás Pevný
Václav Smídl
Martin Trapp
Ondrej Polácek
T. Oberhuber
TPM
169
9
0
04 May 2020
A Position Aware Decay Weighted Network for Aspect based Sentiment
  Analysis
A Position Aware Decay Weighted Network for Aspect based Sentiment AnalysisInternational Conference on Applications of Natural Language to Data Bases (NLDB), 2020
Avinash Madasu
Anvesh Rao Vijjini
134
2
0
03 May 2020
BlackBox: Generalizable Reconstruction of Extremal Values from
  Incomplete Spatio-Temporal Data
BlackBox: Generalizable Reconstruction of Extremal Values from Incomplete Spatio-Temporal DataExtremes (Extremes), 2020
T. Ivek
Domagoj Vlah
246
4
0
30 Apr 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLMObjD
416
14,553
0
23 Apr 2020
Spectrally Consistent UNet for High Fidelity Image Transformations
Spectrally Consistent UNet for High Fidelity Image Transformations
Demetris Marnerides
Thomas Bashford-Rogers
Kurt Debattista
195
4
0
22 Apr 2020
Recommendation system using a deep learning and graph analysis approach
Recommendation system using a deep learning and graph analysis approachInternational Conference on Climate Informatics (ICCI), 2020
Mahdi Kherad
Amir Jalaly Bidgoly
GNN
195
19
0
17 Apr 2020
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for
  Monocular Depth Estimation
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation
Linda Wang
M. Famouri
A. Wong
MDE
131
9
0
17 Apr 2020
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR
  Errors with Retrofitted Word Embeddings?
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?Interspeech (Interspeech), 2020
Lukasz Augustyniak
Piotr Szymañski
Mikolaj Morzy
Piotr Żelasko
Adrian Szymczak
Jan Mizgajski
Yishay Carmiel
Najim Dehak
KELM
107
9
0
13 Apr 2020
Attribute-based Regularization of Latent Spaces for Variational
  Auto-Encoders
Attribute-based Regularization of Latent Spaces for Variational Auto-Encoders
Ashis Pati
Alexander Lerch
DRL
238
3
0
11 Apr 2020
Evolving Normalization-Activation Layers
Evolving Normalization-Activation LayersNeural Information Processing Systems (NeurIPS), 2020
Hanxiao Liu
Andrew Brock
Karen Simonyan
Quoc V. Le
268
89
0
06 Apr 2020
Rational neural networks
Rational neural networksNeural Information Processing Systems (NeurIPS), 2020
Nicolas Boullé
Y. Nakatsukasa
Alex Townsend
177
101
0
04 Apr 2020
Learning medical triage from clinicians using Deep Q-Learning
Learning medical triage from clinicians using Deep Q-Learning
A. Buchard
Baptiste Bouvier
G. Prando
R. Beard
Michail Livieratos
...
Yuanzhao Zhang
Adam Baker
Yura N. Perov
Kostis Gourgoulias
Saurabh Johri
OffRL
142
4
0
28 Mar 2020
Improved Techniques for Training Single-Image GANs
Improved Techniques for Training Single-Image GANsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2020
Tobias Hinz
Matthew Fisher
Oliver Wang
S. Wermter
GANVLM
227
175
0
25 Mar 2020
Dynamic ReLU
Dynamic ReLUEuropean Conference on Computer Vision (ECCV), 2020
Yinpeng Chen
Xiyang Dai
Xiyang Dai
Dongdong Chen
Lu Yuan
Zicheng Liu
412
194
0
22 Mar 2020
TanhExp: A Smooth Activation Function with High Convergence Speed for
  Lightweight Neural Networks
TanhExp: A Smooth Activation Function with High Convergence Speed for Lightweight Neural NetworksIET Computer Vision (ICV), 2020
Xinyu Liu
Xiaoguang Di
130
65
0
22 Mar 2020
Inverse design of multilayer nanoparticles using artificial neural
  networks and genetic algorithm
Inverse design of multilayer nanoparticles using artificial neural networks and genetic algorithm
Cankun Qiu
Zhi Luo
Xia Wu
Huidong Yang
Bo Huang
92
3
0
16 Mar 2020
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
418
810
0
13 Mar 2020
Mass Estimation of Galaxy Clusters with Deep Learning I:
  Sunyaev-Zel'dovich Effect
Mass Estimation of Galaxy Clusters with Deep Learning I: Sunyaev-Zel'dovich EffectAstrophysical Journal (ApJ), 2020
N. Gupta
C. Reichardt
221
16
0
13 Mar 2020
Extended Batch Normalization
Extended Batch Normalization
Chunjie Luo
Jianfeng Zhan
Lei Wang
Wanling Gao
215
14
0
12 Mar 2020
Improving the Backpropagation Algorithm with Consequentialism Weight
  Updates over Mini-Batches
Improving the Backpropagation Algorithm with Consequentialism Weight Updates over Mini-BatchesNeurocomputing (Neurocomputing), 2020
Naeem Paeedeh
Kamaledin Ghiasi-Shirazi
ODL
181
9
0
11 Mar 2020
ReZero is All You Need: Fast Convergence at Large Depth
ReZero is All You Need: Fast Convergence at Large DepthConference on Uncertainty in Artificial Intelligence (UAI), 2020
Thomas C. Bachlechner
Bodhisattwa Prasad Majumder
H. H. Mao
G. Cottrell
Julian McAuley
AI4CE
383
329
0
10 Mar 2020
Neural Enhanced Belief Propagation on Factor Graphs
Neural Enhanced Belief Propagation on Factor GraphsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Victor Garcia Satorras
Max Welling
444
106
0
04 Mar 2020
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?International Conference on Machine Learning (ICML), 2020
Keita Ota
Tomoaki Oiki
Devesh K. Jha
T. Mariyama
D. Nikovski
OffRL
215
57
0
03 Mar 2020
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees
Aleksei Triastcyn
Boi Faltings
81
6
0
02 Mar 2020
Soft-Root-Sign Activation Function
Soft-Root-Sign Activation Function
Yuan Zhou
Dandan Li
Shuwei Huo
S. Kung
ODL
137
28
0
01 Mar 2020
Exploiting the Full Capacity of Deep Neural Networks while Avoiding
  Overfitting by Targeted Sparsity Regularization
Exploiting the Full Capacity of Deep Neural Networks while Avoiding Overfitting by Targeted Sparsity Regularization
Karim Huesmann
Soeren Klemm
Lars Linsen
Benjamin Risse
114
2
0
21 Feb 2020
The Benefits of Pairwise Discriminators for Adversarial Training
The Benefits of Pairwise Discriminators for Adversarial Training
Shangyuan Tong
T. Garipov
Tommi Jaakkola
106
0
0
20 Feb 2020
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite
  Networks
Avoiding Kernel Fixed Points: Computing with ELU and GELU Infinite NetworksAAAI Conference on Artificial Intelligence (AAAI), 2020
Russell Tsuchida
Tim Pearce
Christopher van der Heide
Fred Roosta
M. Gallagher
296
10
0
20 Feb 2020
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep
  Learning on Map Images
MapLUR: Exploring a new Paradigm for Estimating Air Pollution using Deep Learning on Map Images
M. Steininger
Konstantin Kobs
Albin Zehe
Florian Lautenschlager
Martin Becker
Andreas Hotho
111
13
0
18 Feb 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational BayesNeural Information Processing Systems (NeurIPS), 2020
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
1.5K
20,656
0
17 Feb 2020
The Power of Graph Convolutional Networks to Distinguish Random Graph
  Models: Short Version
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short VersionInternational Symposium on Information Theory (ISIT), 2019
Abram Magner
Mayank Baranwal
Alfred Hero
GNN
144
14
0
13 Feb 2020
Sentiment Analysis Using Averaged Weighted Word Vector Features
Sentiment Analysis Using Averaged Weighted Word Vector FeaturesPLoS ONE (PLOS ONE), 2020
Ali Erkan
Tunga Güngör
101
4
0
13 Feb 2020
Feature Importance Estimation with Self-Attention Networks
Feature Importance Estimation with Self-Attention NetworksEuropean Conference on Artificial Intelligence (ECAI), 2020
Blaž Škrlj
Jannis Brugger
Nada Lavrac
Matej Petković
FAttMILM
162
55
0
11 Feb 2020
Goldilocks Neural Networks
Goldilocks Neural Networks
Jan Rosenzweig
Zoran Cvetkovic
I. Rosenzweig
133
1
0
11 Feb 2020
A Deep Conditioning Treatment of Neural Networks
A Deep Conditioning Treatment of Neural NetworksInternational Conference on Algorithmic Learning Theory (ALT), 2020
Naman Agarwal
Pranjal Awasthi
Satyen Kale
AI4CE
363
18
0
04 Feb 2020
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling
Hide-and-Tell: Learning to Bridge Photo Streams for Visual StorytellingAAAI Conference on Artificial Intelligence (AAAI), 2020
Yunjae Jung
Dahun Kim
Sanghyun Woo
Kyungsu Kim
Sungjin Kim
In So Kweon
DiffM
145
35
0
03 Feb 2020
Age-Conditioned Synthesis of Pediatric Computed Tomography with
  Auxiliary Classifier Generative Adversarial Networks
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial NetworksIEEE International Symposium on Biomedical Imaging (ISBI), 2020
Chi Nok Enoch Kan
Najibakram Maheenaboobacker
Dong Hye Ye
GANMedIm
69
9
0
31 Jan 2020
Deep learning generates custom-made logistic regression models for
  explaining how breast cancer subtypes are classified
Deep learning generates custom-made logistic regression models for explaining how breast cancer subtypes are classifiedbioRxiv (bioRxiv), 2020
Takuma Shibahara
Chisa Wada
Yasuho Yamashita
Kazuhiro A. Fujita
Masamichi Sato
Junichi Kuwata
Atsushi Okamoto
Yoshimasa Ono
122
11
0
20 Jan 2020
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