ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1706.02515
  4. Cited By
Self-Normalizing Neural Networks

Self-Normalizing Neural Networks

8 June 2017
Günter Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown
Title
Simple Modifications to Improve Tabular Neural Networks
Simple Modifications to Improve Tabular Neural Networks
J. Fiedler
LMTD
91
19
0
06 Aug 2021
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable
  Multimodal Deep Learning
Pan-Cancer Integrative Histology-Genomic Analysis via Interpretable Multimodal Deep Learning
Richard J. Chen
Ming Y. Lu
Drew F. K. Williamson
Tiffany Y. Chen
Jana Lipkova
...
Maha Shady
Mane Williams
Bumjin Joo
Zahra Noor
Faisal Mahmood
20
13
0
04 Aug 2021
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across
  Contexts
Bellamy: Reusing Performance Models for Distributed Dataflow Jobs Across Contexts
Dominik Scheinert
L. Thamsen
Houkun Zhu
Jonathan Will
Alexander Acker
Thorsten Wittkopp
O. Kao
16
15
0
29 Jul 2021
Convolutional Transformer based Dual Discriminator Generative
  Adversarial Networks for Video Anomaly Detection
Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection
Xinyang Feng
Dongjin Song
Yuncong Chen
Zhengzhang Chen
Jingchao Ni
Haifeng Chen
ViT
27
70
0
29 Jul 2021
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized
  training approach for DNNs
Adaptive Precision Training (AdaPT): A dynamic fixed point quantized training approach for DNNs
Lorenz Kummer
Kevin Sidak
Tabea Reichmann
Wilfried Gansterer
MQ
27
5
0
28 Jul 2021
Dynamic Neural Network Architectural and Topological Adaptation and
  Related Methods -- A Survey
Dynamic Neural Network Architectural and Topological Adaptation and Related Methods -- A Survey
Lorenz Kummer
AI4CE
40
0
0
28 Jul 2021
Individual Survival Curves with Conditional Normalizing Flows
Individual Survival Curves with Conditional Normalizing Flows
Guillaume Ausset
Tom Ciffreo
François Portier
Stéphan Clémenccon
Timothée Papin
11
4
0
27 Jul 2021
End-to-End Spectro-Temporal Graph Attention Networks for Speaker
  Verification Anti-Spoofing and Speech Deepfake Detection
End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection
Hemlata Tak
Jee-weon Jung
J. Patino
Madhu R. Kamble
Massimiliano Todisco
Nicholas W. D. Evans
38
162
0
27 Jul 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations
  in Privacy-Preserving Deep Learning
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning
Karthik Garimella
N. Jha
Brandon Reagen
21
19
0
26 Jul 2021
Thought Flow Nets: From Single Predictions to Trains of Model Thought
Thought Flow Nets: From Single Predictions to Trains of Model Thought
Hendrik Schuff
Heike Adel
Ngoc Thang Vu
AIFin
LRM
19
0
0
26 Jul 2021
Generalization of graph network inferences in higher-order graphical
  models
Generalization of graph network inferences in higher-order graphical models
Yicheng Fei
Xaq Pitkow
16
0
0
12 Jul 2021
Activated Gradients for Deep Neural Networks
Activated Gradients for Deep Neural Networks
Mei Liu
Liangming Chen
Xiaohao Du
Long Jin
Mingsheng Shang
ODL
AI4CE
35
135
0
09 Jul 2021
Universal approximation and model compression for radial neural networks
Universal approximation and model compression for radial neural networks
I. Ganev
Twan van Laarhoven
Robin Walters
27
8
0
06 Jul 2021
RikoNet: A Novel Anime Recommendation Engine
RikoNet: A Novel Anime Recommendation Engine
B. Soni
Debangan Thakuria
Nilutpal Nath
Navarun Das
Bhaskarananda Boro
32
4
0
24 Jun 2021
Revisiting Deep Learning Models for Tabular Data
Revisiting Deep Learning Models for Tabular Data
Yu. V. Gorishniy
Ivan Rubachev
Valentin Khrulkov
Artem Babenko
LMTD
48
703
0
22 Jun 2021
Well-tuned Simple Nets Excel on Tabular Datasets
Well-tuned Simple Nets Excel on Tabular Datasets
Arlind Kadra
Marius Lindauer
Frank Hutter
Josif Grabocka
23
185
0
21 Jun 2021
Deep HDR Hallucination for Inverse Tone Mapping
Deep HDR Hallucination for Inverse Tone Mapping
Demetris Marnerides
Thomas Bashford-Rogers
Kurt Debattista
19
16
0
17 Jun 2021
Target Model Agnostic Adversarial Attacks with Query Budgets on Language
  Understanding Models
Target Model Agnostic Adversarial Attacks with Query Budgets on Language Understanding Models
Jatin Chauhan
Karan Bhukar
Manohar Kaul
AAML
20
1
0
13 Jun 2021
Reborn Mechanism: Rethinking the Negative Phase Information Flow in
  Convolutional Neural Network
Reborn Mechanism: Rethinking the Negative Phase Information Flow in Convolutional Neural Network
Zhicheng Cai
Kaizhu Huang
Chenglei Peng
14
0
0
13 Jun 2021
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
Simulating Continuum Mechanics with Multi-Scale Graph Neural Networks
Mario Lino
C. Cantwell
Anil A. Bharath
Stathi Fotiadis
AI4CE
31
48
0
09 Jun 2021
Muddling Label Regularization: Deep Learning for Tabular Datasets
Muddling Label Regularization: Deep Learning for Tabular Datasets
Karim Lounici
Katia Méziani
Benjamin Riu
24
6
0
08 Jun 2021
Batch Normalization Orthogonalizes Representations in Deep Random
  Networks
Batch Normalization Orthogonalizes Representations in Deep Random Networks
Hadi Daneshmand
Amir Joudaki
Francis R. Bach
OOD
15
37
0
07 Jun 2021
Proxy-Normalizing Activations to Match Batch Normalization while
  Removing Batch Dependence
Proxy-Normalizing Activations to Match Batch Normalization while Removing Batch Dependence
A. Labatie
Dominic Masters
Zach Eaton-Rosen
Carlo Luschi
33
21
0
07 Jun 2021
Tabular Data: Deep Learning is Not All You Need
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv
Amitai Armon
LMTD
13
1,208
0
06 Jun 2021
GemNet: Universal Directional Graph Neural Networks for Molecules
GemNet: Universal Directional Graph Neural Networks for Molecules
Johannes Klicpera
Florian Becker
Stephan Günnemann
AI4CE
39
438
0
02 Jun 2021
Evolution of Activation Functions: An Empirical Investigation
Evolution of Activation Functions: An Empirical Investigation
Andrew Nader
D. Azar
22
8
0
30 May 2021
Classification and Uncertainty Quantification of Corrupted Data using
  Semi-Supervised Autoencoders
Classification and Uncertainty Quantification of Corrupted Data using Semi-Supervised Autoencoders
Philipp Joppich
S. Dorn
Oliver De Candido
Wolfgang Utschick
Jakob Knollmuller
25
1
0
27 May 2021
Towards Efficient Full 8-bit Integer DNN Online Training on
  Resource-limited Devices without Batch Normalization
Towards Efficient Full 8-bit Integer DNN Online Training on Resource-limited Devices without Batch Normalization
Yukuan Yang
Xiaowei Chi
Lei Deng
Tianyi Yan
Feng Gao
Guoqi Li
MQ
23
6
0
27 May 2021
KLIEP-based Density Ratio Estimation for Semantically Consistent
  Synthetic to Real Images Adaptation in Urban Traffic Scenes
KLIEP-based Density Ratio Estimation for Semantically Consistent Synthetic to Real Images Adaptation in Urban Traffic Scenes
Artem Savkin
Federico Tombari
24
1
0
26 May 2021
Deep Kronecker neural networks: A general framework for neural networks
  with adaptive activation functions
Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions
Ameya Dilip Jagtap
Yeonjong Shin
Kenji Kawaguchi
George Karniadakis
ODL
45
131
0
20 May 2021
Activation function design for deep networks: linearity and effective
  initialisation
Activation function design for deep networks: linearity and effective initialisation
Michael Murray
V. Abrol
Jared Tanner
ODL
LLMSV
29
18
0
17 May 2021
Advances in Multi-Variate Analysis Methods for New Physics Searches at
  the Large Hadron Collider
Advances in Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider
A. Stakia
T. Dorigo
G. Banelli
D. Bortoletto
A. Casa
...
G. Strong
C. Tosciri
J. Varela
Pietro Vischia
A. Weiler
17
3
0
16 May 2021
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
Ana-Cristina Rogoz
Mihaela Găman
Radu Tudor Ionescu
32
11
0
13 May 2021
BeamLearning: an end-to-end Deep Learning approach for the angular
  localization of sound sources using raw multichannel acoustic pressure data
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data
Hadrien Pujol
Éric Bavu
Alexandre Garcia
44
22
0
27 Apr 2021
Development of digitally obtainable 10-year risk scores for depression
  and anxiety in the general population
Development of digitally obtainable 10-year risk scores for depression and anxiety in the general population
D. Morelli
N. Dolezalova
S. Ponzo
M. Colombo
D. Plans
14
1
0
20 Apr 2021
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA)
  risk assessment: a UK Biobank study
Development of an accessible 10-year Digital CArdioVAscular (DiCAVA) risk assessment: a UK Biobank study
N. Dolezalova
Angus B. Reed
A. Despotovic
B. Obika
D. Morelli
M. Aral
D. Plans
11
14
0
20 Apr 2021
Scale Invariant Monte Carlo under Linear Function Approximation with
  Curvature based step-size
Scale Invariant Monte Carlo under Linear Function Approximation with Curvature based step-size
Rahul Madhavan
Hemant Makwana
18
0
0
15 Apr 2021
Not All Attention Is All You Need
Not All Attention Is All You Need
Hongqiu Wu
Hai Zhao
Min Zhang
22
9
0
10 Apr 2021
High-Throughput Virtual Screening of Small Molecule Inhibitors for
  SARS-CoV-2 Protein Targets with Deep Fusion Models
High-Throughput Virtual Screening of Small Molecule Inhibitors for SARS-CoV-2 Protein Targets with Deep Fusion Models
Garrett A. Stevenson
Derek Jones
Hyojin Kim
W. D. Bennett
B. Bennion
...
A. Zemla
Xiaohua Zhang
Fangqiang Zhu
F. Lightstone
Jonathan E. Allen
23
15
0
09 Apr 2021
Learning specialized activation functions with the Piecewise Linear Unit
Learning specialized activation functions with the Piecewise Linear Unit
Yucong Zhou
Zezhou Zhu
Zhaobai Zhong
35
14
0
08 Apr 2021
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template
  Prediction
Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
Philipp Seidl
Philipp Renz
N. Dyubankova
Paulo Neves
Jonas Verhoeven
Marwin H. S. Segler
J. Wegner
Sepp Hochreiter
Günter Klambauer
38
17
0
07 Apr 2021
An Analysis of State-of-the-art Activation Functions For Supervised Deep
  Neural Network
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
A. Nguyen
Khoa Pham
Dat Ngo
T. Ngo
L. D. Pham
31
34
0
05 Apr 2021
Few-Shot Keyword Spotting in Any Language
Few-Shot Keyword Spotting in Any Language
Mark Mazumder
Colby R. Banbury
Josh Meyer
Pete Warden
Vijay Janapa Reddi
21
41
0
03 Apr 2021
Deep Learning of Conjugate Mappings
Deep Learning of Conjugate Mappings
J. Bramburger
S. Patterson
J. Nathan Kutz
29
15
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
4
17
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
16
6
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 Cases
Ilias Chalkidis
Manos Fergadiotis
D. Tsarapatsanis
Nikolaos Aletras
Ion Androutsopoulos
Prodromos Malakasiotis
AILaw
29
107
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
17
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 Synthesis
Amin Heyrani Nobari
Wei Chen
Faez Ahmed
GAN
AI4CE
19
11
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
25
99
0
09 Mar 2021
Previous
123...8910...161718
Next