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Self-Normalizing Neural Networks

Self-Normalizing Neural Networks

8 June 2017
G. Klambauer
Thomas Unterthiner
Andreas Mayr
Sepp Hochreiter
ArXivPDFHTML

Papers citing "Self-Normalizing Neural Networks"

50 / 866 papers shown
Title
Pairing-based graph neural network for simulating quantum materials
Pairing-based graph neural network for simulating quantum materials
Di Luo
David D. Dai
Liang Fu
43
5
0
03 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs
Robust Graph Clustering via Meta Weighting for Noisy Graphs
Hyeonsoo Jo
Fanchen Bu
Kijung Shin
OOD
NoLa
20
7
0
01 Nov 2023
ReConTab: Regularized Contrastive Representation Learning for Tabular
  Data
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
Suiyao Chen
Jing Wu
N. Hovakimyan
Handong Yao
33
33
0
28 Oct 2023
Graph Convolutional Networks for Complex Traffic Scenario Classification
Graph Convolutional Networks for Complex Traffic Scenario Classification
Tobias Hoek
Holger Caesar
Andreas Falkovén
Tommy Johansson
GNN
13
0
0
26 Oct 2023
Invariance Measures for Neural Networks
Invariance Measures for Neural Networks
F. Quiroga
J. Torrents-Barrena
Laura Lanzarini
Domenec Puig-Valls
17
4
0
26 Oct 2023
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text
  Generation
Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation
Mateusz Lango
Ondrej Dusek
23
8
0
25 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity
  Recognition
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition
Megha Thukral
H. Haresamudram
Thomas Ploetz
26
4
0
22 Oct 2023
Calibrating Neural Simulation-Based Inference with Differentiable
  Coverage Probability
Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability
Maciej Falkiewicz
Naoya Takeishi
Imahn Shekhzadeh
Antoine Wehenkel
Arnaud Delaunoy
Gilles Louppe
Alexandros Kalousis
21
6
0
20 Oct 2023
On Unsupervised Image-to-image translation and GAN stability
On Unsupervised Image-to-image translation and GAN stability
BahaaEddin AlAila
Zahra Jandaghi
Abolfazl Farahani
M. Al-Saad
GAN
19
1
0
18 Oct 2023
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for
  Cascade Ranking Systems
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems
Yunli Wang
Zhiqiang Wang
Jian Yang
Shiyang Wen
Dongying Kong
Han Li
Kun Gai
24
10
0
16 Oct 2023
Compressed Sensing of Generative Sparse-latent (GSL) Signals
Compressed Sensing of Generative Sparse-latent (GSL) Signals
Antoine Honoré
Anubhab Ghosh
Saikat Chatterjee
13
0
0
16 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of
  Parameters
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters
Mateusz Michalkiewicz
M. Faraki
Xiang Yu
Manmohan Chandraker
Mahsa Baktash
21
2
0
11 Oct 2023
Acoustic Model Fusion for End-to-end Speech Recognition
Acoustic Model Fusion for End-to-end Speech Recognition
Zhihong Lei
Mingbin Xu
Shiyi Han
Leo Liu
Zhen Huang
...
Yuanyuan Zhang
Ernest Pusateri
Mirko Hannemann
Yaqiao Deng
Man-Hung Siu
16
5
0
10 Oct 2023
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language
  Models
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models
Iman Mirzadeh
Keivan Alizadeh-Vahid
Sachin Mehta
C. C. D. Mundo
Oncel Tuzel
Golnoosh Samei
Mohammad Rastegari
Mehrdad Farajtabar
118
60
0
06 Oct 2023
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural
  Operator
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator
Ken C. L. Wong
Hongzhi Wang
T. Syeda-Mahmood
30
0
0
05 Oct 2023
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and
  Parameter-Efficient 3D Image Segmentation
HartleyMHA: Self-Attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation
Ken C. L. Wong
Hongzhi Wang
T. Syeda-Mahmood
28
1
0
05 Oct 2023
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic
  Scattering
ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
C. Fanelli
J. Giroux
UQCV
BDL
14
4
0
04 Oct 2023
Clustering-based Image-Text Graph Matching for Domain Generalization
Clustering-based Image-Text Graph Matching for Domain Generalization
Nokyung Park
Daewon Chae
Jeongyong Shim
Sangpil Kim
Eun-Sol Kim
Jinkyu Kim
OOD
28
1
0
04 Oct 2023
Towards Training Without Depth Limits: Batch Normalization Without
  Gradient Explosion
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Alexandru Meterez
Amir Joudaki
Francesco Orabona
Alexander Immer
Gunnar Rätsch
Hadi Daneshmand
24
8
0
03 Oct 2023
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural
  Networks
The Map Equation Goes Neural: Mapping Network Flows with Graph Neural Networks
Christopher Blöcker
Chester Tan
Ingo Scholtes
19
1
0
02 Oct 2023
Generalized Activation via Multivariate Projection
Generalized Activation via Multivariate Projection
Jiayun Li
Yuxiao Cheng
Yiwen Lu
Zhuofan Xia
Yilin Mo
Gao Huang
LLMSV
13
0
0
29 Sep 2023
2-Cats: 2D Copula Approximating Transforms
2-Cats: 2D Copula Approximating Transforms
Shiyi Tang
Yini Fang
Jackson Silva
Renato M. Assunção
28
0
0
28 Sep 2023
Cross-Modal Translation and Alignment for Survival Analysis
Cross-Modal Translation and Alignment for Survival Analysis
F. Zhou
Hao Chen
18
45
0
22 Sep 2023
SHAPNN: Shapley Value Regularized Tabular Neural Network
SHAPNN: Shapley Value Regularized Tabular Neural Network
Qisen Cheng
Shuhui Qu
Janghwan Lee
14
3
0
15 Sep 2023
Neural Network Exemplar Parallelization with Go
Neural Network Exemplar Parallelization with Go
Georg Wiesinger
Erich Schikuta
MoE
16
0
0
15 Sep 2023
Gene-induced Multimodal Pre-training for Image-omic Classification
Gene-induced Multimodal Pre-training for Image-omic Classification
Ting Jin
Xingran Xie
Renjie Wan
Qingli Li
Yan Wang
AI4CE
37
10
0
06 Sep 2023
Self-Similarity-Based and Novelty-based loss for music structure
  analysis
Self-Similarity-Based and Novelty-based loss for music structure analysis
Geoffroy Peeters
14
2
0
05 Sep 2023
Providing Previously Unseen Users Fair Recommendations Using Variational
  Autoencoders
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
Bjørnar Vassøy
H. Langseth
B. Kille
FaML
13
4
0
29 Aug 2023
Homological Convolutional Neural Networks
Homological Convolutional Neural Networks
Antonio Briola
Yuanrong Wang
Silvia Bartolucci
T. Aste
LMTD
25
5
0
26 Aug 2023
Linear Oscillation: A Novel Activation Function for Vision Transformer
Juyoung Yun
LLMSV
14
0
0
25 Aug 2023
TrackFlow: Multi-Object Tracking with Normalizing Flows
TrackFlow: Multi-Object Tracking with Normalizing Flows
G. Mancusi
Aniello Panariello
Angelo Porrello
Matteo Fabbri
Simone Calderara
Rita Cucchiara
VOT
23
12
0
22 Aug 2023
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung
  Cancer (NSCLC) Patient Survival Prediction
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction
Ruining Deng
N. Shaikh
G. Shannon
Yao Nie
9
5
0
18 Aug 2023
An Encoder-Decoder Approach for Packing Circles
An Encoder-Decoder Approach for Packing Circles
Akshay Kiran Jose
Gangadhar Karevvanavar
R. Bhat
20
0
0
11 Aug 2023
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction
  over Real-World Financial Data
DeRisk: An Effective Deep Learning Framework for Credit Risk Prediction over Real-World Financial Data
Yancheng Liang
Jiajie Zhang
Hui Li
Xiaochen Liu
Yi Hu
Yonghuan Wu
Jinyao Zhang
Yongyan Liu
Yi Wu
24
2
0
07 Aug 2023
Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for
  Modeling EDFA Wavelength Dependent Gain
Self-Normalizing Neural Network, Enabling One Shot Transfer Learning for Modeling EDFA Wavelength Dependent Gain
A. Raj
Zehao Wang
F. Slyne
Tingjun Chen
D. Kilper
Marco Ruffini
11
8
0
04 Aug 2023
Explainable Deep Learning for Tumor Dynamic Modeling and Overall
  Survival Prediction using Neural-ODE
Explainable Deep Learning for Tumor Dynamic Modeling and Overall Survival Prediction using Neural-ODE
Mark A. Laurie
James Lu
19
12
0
02 Aug 2023
From Sparse to Soft Mixtures of Experts
From Sparse to Soft Mixtures of Experts
J. Puigcerver
C. Riquelme
Basil Mustafa
N. Houlsby
MoE
121
114
0
02 Aug 2023
Copula for Instance-wise Feature Selection and Ranking
Copula for Instance-wise Feature Selection and Ranking
Hanyu Peng
Guanhua Fang
P. Li
31
3
0
01 Aug 2023
Equitable Time-Varying Pricing Tariff Design: A Joint Learning and
  Optimization Approach
Equitable Time-Varying Pricing Tariff Design: A Joint Learning and Optimization Approach
Liudong Chen
Bolun Xu
11
0
0
26 Jul 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023
Yu. V. Gorishniy
Ivan Rubachev
Nikolay Kartashev
Daniil Shlenskii
Akim Kotelnikov
Artem Babenko
OOD
LMTD
19
13
0
26 Jul 2023
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions
Deep Network Approximation: Beyond ReLU to Diverse Activation Functions
Shijun Zhang
Jianfeng Lu
Hongkai Zhao
13
17
0
13 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular
  Topology Protection
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
36
12
0
12 Jul 2023
Simulation-free Schrödinger bridges via score and flow matching
Simulation-free Schrödinger bridges via score and flow matching
Alexander Tong
Nikolay Malkin
Kilian Fatras
Lazar Atanackovic
Yanlei Zhang
G. Huguet
Guy Wolf
Yoshua Bengio
DiffM
OT
36
29
0
07 Jul 2023
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger
  Forging
Hybrid Ground-State Quantum Algorithms based on Neural Schrödinger Forging
Paulin de Schoulepnikoff
Oriel Kiss
S. Vallecorsa
Giuseppe Carleo
Michele Grossi
19
9
0
05 Jul 2023
Learning Fair Classifiers via Min-Max F-divergence Regularization
Learning Fair Classifiers via Min-Max F-divergence Regularization
Meiyu Zhong
Ravi Tandon
FaML
11
4
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 problem
Valentin Munteanu
V. Starostin
Alessandro Greco
L. Pithan
A. Gerlach
A. Hinderhofer
S. Kowarik
F. Schreiber
14
3
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 Teleoperation
F. Weigend
Shubham D. Sonawani
Michael Drolet
H. B. Amor
11
7
0
22 Jun 2023
Copula-Based Deep Survival Models for Dependent Censoring
Copula-Based Deep Survival Models for Dependent Censoring
Ali Hossein Gharari Foomani
Michael Cooper
Russell Greiner
Rahul G. Krishnan
28
10
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 Prediction
Yingxue Xu
Hao Chen
OffRL
25
41
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 Widths
Yuesheng Xu
Haizhang Zhang
36
3
0
02 Jun 2023
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