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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
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matchingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffMOT
332
59
0
07 Jul 2023
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger
  Forging
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger ForgingPhysical Review Research (Phys. Rev. Res.), 2023
Paulin de Schoulepnikoff
Oriel Kiss
S. Vallecorsa
Giuseppe Carleo
Michele Grossi
214
11
0
05 Jul 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization
Learning Fair Classifiers via Min-Max F-divergence RegularizationAllerton Conference on Communication, Control, and Computing (Allerton), 2023
Meiyu Zhong
Ravi Tandon
FaML
171
6
0
28 Jun 2023
Neural network analysis of neutron and X-ray reflectivity data:
  Incorporating prior knowledge for tackling the phase problem
Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problemJournal of Applied Crystallography (J. Appl. Cryst.), 2023
Valentin Munteanu
V. Starostin
Alessandro Greco
L. Pithan
A. Gerlach
A. Hinderhofer
S. Kowarik
F. Schreiber
185
5
0
28 Jun 2023
Anytime, Anywhere: Human Arm Pose from Smartwatch Data for Ubiquitous
  Robot Control and Teleoperation
Anytime, Anywhere: Human Arm Pose from Smartwatch Data for Ubiquitous Robot Control and TeleoperationIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
F. Weigend
Shubham D. Sonawani
Michael Drolet
H. B. Amor
97
9
0
22 Jun 2023
Copula-Based Deep Survival Models for Dependent Censoring
Copula-Based Deep Survival Models for Dependent CensoringConference on Uncertainty in Artificial Intelligence (UAI), 2023
Ali Hossein Gharari Foomani
Michael Cooper
Russell Greiner
Rahul G. Krishnan
171
14
0
20 Jun 2023
Multimodal Optimal Transport-based Co-Attention Transformer with Global
  Structure Consistency for Survival Prediction
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival PredictionIEEE International Conference on Computer Vision (ICCV), 2023
Yingxue Xu
Hao Chen
OffRL
239
106
0
14 Jun 2023
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous
  Activation Functions and Variable Widths
Uniform Convergence of Deep Neural Networks with Lipschitz Continuous Activation Functions and Variable WidthsIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Yuesheng Xu
Haizhang Zhang
313
7
0
02 Jun 2023
Improved DeepFake Detection Using Whisper Features
Improved DeepFake Detection Using Whisper FeaturesInterspeech (Interspeech), 2023
Piotr Kawa
Marcin Plata
Michał Czuba
Piotr Szymañski
P. Syga
178
64
0
02 Jun 2023
Prediction of Post-Operative Renal and Pulmonary Complications Using
  Transformers
Prediction of Post-Operative Renal and Pulmonary Complications Using Transformers
Reza Shirkavand
Fei Zhang
Heng-Chiao Huang
MedImAI4CE
127
1
0
01 Jun 2023
Global Layers: Non-IID Tabular Federated Learning
Global Layers: Non-IID Tabular Federated Learning
Yazan Obeidi
FedML
247
0
0
29 May 2023
ASU-CNN: An Efficient Deep Architecture for Image Classification and
  Feature Visualizations
ASU-CNN: An Efficient Deep Architecture for Image Classification and Feature Visualizations
J. Rahman
Faiza Makhdoom
D. Lu
83
4
0
28 May 2023
On the impact of activation and normalization in obtaining isometric
  embeddings at initialization
On the impact of activation and normalization in obtaining isometric embeddings at initializationNeural Information Processing Systems (NeurIPS), 2023
Amir Joudaki
Hadi Daneshmand
Francis R. Bach
236
12
0
28 May 2023
Incomplete Multimodal Learning for Complex Brain Disorders Prediction
Incomplete Multimodal Learning for Complex Brain Disorders Prediction
Reza Shirkavand
Chen Tang
Heng-Chiao Huang
Li Shen
Paul M. Thompson
82
6
0
25 May 2023
Dive into the Power of Neuronal Heterogeneity
Dive into the Power of Neuronal Heterogeneity
Guobin Shen
Dongcheng Zhao
Yiting Dong
Yang Li
Yi Zeng
146
4
0
19 May 2023
Learning Likelihood Ratios with Neural Network Classifiers
Learning Likelihood Ratios with Neural Network ClassifiersJournal of High Energy Physics (JHEP), 2023
Shahzar Rizvi
M. Pettee
Benjamin Nachman
266
20
0
17 May 2023
Lp- and Risk Consistency of Localized SVMs
Lp- and Risk Consistency of Localized SVMsNeurocomputing (Neurocomputing), 2023
Hannes Köhler
243
0
0
16 May 2023
Vocal Style Factorization for Effective Speaker Recognition in Affective
  Scenarios
Vocal Style Factorization for Effective Speaker Recognition in Affective Scenarios
Morgan Sandler
Arun Ross
CVBM
165
0
0
13 May 2023
A stable deep adversarial learning approach for geological facies
  generation
A stable deep adversarial learning approach for geological facies generationComputational Geosciences (Comput. Geosci.), 2023
F. Bhavsar
N. Desassis
F. Ors
T. Romary
GANAI4CE
151
4
0
12 May 2023
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear
  Unit to Enhance Neural Networks
TaLU: A Hybrid Activation Function Combining Tanh and Rectified Linear Unit to Enhance Neural Networks
M. Hasan
Md. Ali Hossain
Azmain Yakin Srizon
Abu Sayeed
190
2
0
08 May 2023
Expand-and-Cluster: Parameter Recovery of Neural Networks
Expand-and-Cluster: Parameter Recovery of Neural NetworksInternational Conference on Machine Learning (ICML), 2023
Flavio Martinelli
Berfin Simsek
W. Gerstner
Johanni Brea
528
14
0
25 Apr 2023
Context-enriched molecule representations improve few-shot drug
  discovery
Context-enriched molecule representations improve few-shot drug discoveryInternational Conference on Learning Representations (ICLR), 2023
Johannes Schimunek
Philipp Seidl
Lukas Friedrich
Daniel Kuhn
F. Rippmann
Sepp Hochreiter
Günter Klambauer
193
36
0
24 Apr 2023
The Disharmony between BN and ReLU Causes Gradient Explosion, but is
  Offset by the Correlation between Activations
The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations
Inyoung Paik
Jaesik Choi
346
2
0
23 Apr 2023
Transformer-based models and hardware acceleration analysis in
  autonomous driving: A survey
Transformer-based models and hardware acceleration analysis in autonomous driving: A survey
J. Zhong
Zheng Liu
Xiangshan Chen
ViT
187
20
0
21 Apr 2023
Learn to Cluster Faces with Better Subgraphs
Learn to Cluster Faces with Better SubgraphsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Yuan Cao
Chen Zhang
Guanqun Hou
Fan Deng
Xinjiao Chen
Qiang Yang
CVBM
184
0
0
21 Apr 2023
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural
  Networks to Recover Nonlinear Oscillations Efficiently
Amplifying Sine Unit: An Oscillatory Activation Function for Deep Neural Networks to Recover Nonlinear Oscillations Efficiently
J. Rahman
Faiza Makhdoom
D. Lu
130
10
0
18 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy
  Guarantees
ProGAP: Progressive Graph Neural Networks with Differential Privacy GuaranteesWeb Search and Data Mining (WSDM), 2023
Sina Sajadmanesh
D. Gática-Pérez
377
22
0
18 Apr 2023
Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Magnitude Invariant Parametrizations Improve Hypernetwork LearningInternational Conference on Learning Representations (ICLR), 2023
Jose Javier Gonzalez Ortiz
John Guttag
Adrian Dalca
263
11
0
15 Apr 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and
  Histology for Survival Prediction
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival PredictionComputer Vision and Pattern Recognition (CVPR), 2023
Guillaume Jaume
Anurag J. Vaidya
Richard J. Chen
Drew F. K. Williamson
Paul Pu Liang
Faisal Mahmood
453
107
0
13 Apr 2023
Neural Network Algorithm for Intercepting Targets Moving Along Known
  Trajectories by a Dubins' Car
Neural Network Algorithm for Intercepting Targets Moving Along Known Trajectories by a Dubins' CarAutomation and remote control (ARC), 2023
Ivan Nasonov
A. Galyaev
Andrey V. Medvedev
116
0
0
12 Apr 2023
Bayesian optimization for sparse neural networks with trainable
  activation functions
Bayesian optimization for sparse neural networks with trainable activation functionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
M. Fakhfakh
Lotfi Chaari
275
7
0
10 Apr 2023
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via
  Deformable Transformation
ALIKED: A Lighter Keypoint and Descriptor Extraction Network via Deformable TransformationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Xiaoming Zhao
Xingming Wu
Weihai Chen
Peter C. Y. Chen
Qingsong Xu
Zhengguo Li
237
134
0
07 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
296
51
0
07 Apr 2023
Beyond Multilayer Perceptrons: Investigating Complex Topologies in
  Neural Networks
Beyond Multilayer Perceptrons: Investigating Complex Topologies in Neural NetworksNeural Networks (Neural Netw.), 2023
T. Boccato
Matteo Ferrante
A. Duggento
N. Toschi
216
10
0
31 Mar 2023
Function Approximation with Randomly Initialized Neural Networks for
  Approximate Model Reference Adaptive Control
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control
Tyler Lekang
Andrew G. Lamperski
269
1
0
28 Mar 2023
Multi-Task Reinforcement Learning in Continuous Control with Successor
  Feature-Based Concurrent Composition
Multi-Task Reinforcement Learning in Continuous Control with Successor Feature-Based Concurrent CompositionEuropean Control Conference (ECC), 2023
Y. Liu
Aamir Ahmad
239
5
0
24 Mar 2023
Unit Scaling: Out-of-the-Box Low-Precision Training
Unit Scaling: Out-of-the-Box Low-Precision TrainingInternational Conference on Machine Learning (ICML), 2023
Charlie Blake
Douglas Orr
Carlo Luschi
MQ
223
12
0
20 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep
  Reinforcement Learning
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement LearningInternational Conference on Artificial Neural Networks (ICANN), 2023
T. Kanazawa
Chetan Gupta
290
0
0
15 Mar 2023
How to DP-fy ML: A Practical Guide to Machine Learning with Differential
  Privacy
How to DP-fy ML: A Practical Guide to Machine Learning with Differential PrivacyJournal of Artificial Intelligence Research (JAIR), 2023
Natalia Ponomareva
Hussein Hazimeh
Alexey Kurakin
Zheng Xu
Carson E. Denison
H. B. McMahan
Sergei Vassilvitskii
Steve Chien
Abhradeep Thakurta
508
242
0
01 Mar 2023
Toward Robust Uncertainty Estimation with Random Activation Functions
Toward Robust Uncertainty Estimation with Random Activation FunctionsAAAI Conference on Artificial Intelligence (AAAI), 2023
Y. Stoyanova
Soroush Ghandi
M. Tavakol
UQCV
179
2
0
28 Feb 2023
Phase diagram of early training dynamics in deep neural networks: effect
  of the learning rate, depth, and width
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and widthNeural Information Processing Systems (NeurIPS), 2023
Dayal Singh Kalra
M. Barkeshli
317
16
0
23 Feb 2023
Quantifying & Modeling Multimodal Interactions: An Information
  Decomposition Framework
Quantifying & Modeling Multimodal Interactions: An Information Decomposition FrameworkNeural Information Processing Systems (NeurIPS), 2023
Paul Pu Liang
Yun Cheng
Xiang Fan
Chun Kai Ling
Suzanne Nie
...
Nicholas B. Allen
Randy P. Auerbach
Faisal Mahmood
Ruslan Salakhutdinov
Louis-Philippe Morency
417
65
0
23 Feb 2023
Recent Advancements in Deep Learning Applications and Methods for
  Autonomous Navigation: A Comprehensive Review
Recent Advancements in Deep Learning Applications and Methods for Autonomous Navigation: A Comprehensive Review
Arman Asgharpoor Golroudbari
M. Sabour
421
33
0
22 Feb 2023
Unification of popular artificial neural network activation functions
Unification of popular artificial neural network activation functionsFractional Calculus and Applied Analysis (FCAA), 2023
Mohammad Mostafanejad
91
0
0
21 Feb 2023
On discrete symmetries of robotics systems: A group-theoretic and
  data-driven analysis
On discrete symmetries of robotics systems: A group-theoretic and data-driven analysis
Daniel Felipe Ordoñez Apraez
Mario Martin
Antonio Agudo
Francesc Moreno-Noguer
AI4CE
291
14
0
21 Feb 2023
Transformed Distribution Matching for Missing Value Imputation
Transformed Distribution Matching for Missing Value ImputationInternational Conference on Machine Learning (ICML), 2023
He Zhao
Ke Sun
Amir Dezfouli
Edwin V. Bonilla
210
35
0
20 Feb 2023
Kernel function impact on convolutional neural networks
Kernel function impact on convolutional neural networks
M. Amine Mahmoudi
A. Chetouani
Fatma Boufera
Hedi Tabia
FAtt
165
4
0
20 Feb 2023
Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model
  Built With Bi-LSTM and Bi-GRU To Simulate Ventilation
Forecasting Pressure Of Ventilator Using A Hybrid Deep Learning Model Built With Bi-LSTM and Bi-GRU To Simulate Ventilation
Md. Jafril Alam
Jakaria Rabbi
S. Ahamed
81
5
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19 Feb 2023
From paintbrush to pixel: A review of deep neural networks in AI-generated art
From paintbrush to pixel: A review of deep neural networks in AI-generated art
Anne-Sofie Maerten
Derya Soydaner
280
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Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance
Hyperspectral Image Super Resolution with Real Unaligned RGB GuidanceIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Zeqiang Lai
Ying Fu
Jun Zhang
142
22
0
13 Feb 2023
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