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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
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
TabM: Advancing Tabular Deep Learning with Parameter-Efficient Ensembling
Yury Gorishniy
Akim Kotelnikov
Artem Babenko
LMTD
MoE
92
6
0
31 Oct 2024
Power side-channel leakage localization through adversarial training of
  deep neural networks
Power side-channel leakage localization through adversarial training of deep neural networks
Jimmy Gammell
A. Raghunathan
Kaushik Roy
AAML
24
0
0
29 Oct 2024
Emergence of Globally Attracting Fixed Points in Deep Neural Networks
  With Nonlinear Activations
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear Activations
Amir Joudaki
Thomas Hofmann
MLT
13
0
0
26 Oct 2024
Emotion Recognition with Facial Attention and Objective Activation
  Functions
Emotion Recognition with Facial Attention and Objective Activation Functions
Andrzej Miskow
Abdulrahman Altahhan
CVBM
23
0
0
23 Oct 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate
  Activation Maximization in Deep Neural Networks
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks
C. Linse
Erhardt Barth
Thomas Martinetz
24
0
0
22 Oct 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential
  Ordering
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering
A. Habib
Kesheng Wang
Mary-Anne Hartley
Gianfranco Doretto
Donald Adjeroh
LMTD
35
1
0
17 Oct 2024
HSR-Enhanced Sparse Attention Acceleration
HSR-Enhanced Sparse Attention Acceleration
Bo Chen
Yingyu Liang
Zhizhou Sha
Zhenmei Shi
Zhao-quan Song
93
18
0
14 Oct 2024
Towards virtual painting recolouring using Vision Transformer on X-Ray
  Fluorescence datacubes
Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes
A. Bombini
Fernando García-Avello Bofías
Francesca Giambi
Chiara Ruberto
21
0
0
11 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators
DeepOSets: Non-Autoregressive In-Context Learning of Supervised Learning Operators
Shao-Ting Chiu
Junyuan Hong
Ulisses Braga-Neto
BDL
30
0
0
11 Oct 2024
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech
  Enhancement
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement
Ibrahim Aldarmaki
Thamar Solorio
Bhiksha Raj
Hanan Aldarmaki
18
0
0
07 Oct 2024
Topology-Informed Machine Learning for Efficient Prediction of Solid
  Oxide Fuel Cell Electrode Polarization
Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode Polarization
Maksym Szemer
Szymon Buchaniec
Tomasz Prokop
G. Brus
16
0
0
04 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
45
22
0
01 Oct 2024
Cauchy activation function and XNet
Cauchy activation function and XNet
Xin Li
Zhihong Xia
Hongkun Zhang
40
4
0
28 Sep 2024
A comparison of Bayesian sampling algorithms for high-dimensional
  particle physics and cosmology applications
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications
Joshua Albert
Csaba Balazs
A. Fowlie
Will Handley
Nicholas Hunt-Smith
Roberto Ruiz de Austri
Martin White
32
3
0
27 Sep 2024
CombU: A Combined Unit Activation for Fitting Mathematical Expressions
  with Neural Networks
CombU: A Combined Unit Activation for Fitting Mathematical Expressions with Neural Networks
Jiayu Li
Zilong Zhao
Kevin Yee
Uzair Javaid
Biplab Sikdar
19
1
0
25 Sep 2024
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with
  Tabular Node Features
TabGraphs: A Benchmark and Strong Baselines for Learning on Graphs with Tabular Node Features
Gleb Bazhenov
Oleg Platonov
Liudmila Prokhorenkova
LMTD
26
1
0
22 Sep 2024
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising
  Diffusion Probabilistic Models
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
Chengkun Sun
Jinqian Pan
Russell Stevens Terry
Jiang Bian
Jie Xu
DiffM
23
0
0
19 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat
  Detection
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
R. Gayathri
Atul Sajjanhar
Md Palash Uddin
Yong Xiang
FedML
20
0
0
19 Sep 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate
  Simulation
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation
Kevin Potter
Carianne Martinez
Reina Pradhan
Samantha Brozak
Steven Sleder
Lauren Wheeler
AI4Cl
AI4CE
25
0
0
19 Sep 2024
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis
Romeo Lanzino
Federico Fontana
Luigi Cinque
Francesco Scarcello
Atsuto Maki
MedIm
34
3
0
18 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted
  essentially non-oscillatory scheme
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme
S. Shahane
Sheide Chammas
Deniz A. Bezgin
Aaron B. Buhendwa
Steffen J. Schmidt
...
Spencer H. Bryngelson
Yi-Fan Chen
Qing Wang
Fei Sha
Leonardo Zepeda-Núnez
33
1
0
13 Sep 2024
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes
Sepehr Kazemi Ranjbar
Emad Fatemizadeh
39
0
0
10 Sep 2024
Accelerating the discovery of steady-states of planetary interior
  dynamics with machine learning
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning
Siddhant Agarwal
Nicola Tosi
Christian Huttig
David S. Greenberg
A. Bekar
AI4CE
20
1
0
30 Aug 2024
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation
  for Global Solar Mapping
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
Vishal Batchu
Alex Wilson
Betty Peng
Carl Elkin
Umangi Jain
Christopher Van Arsdale
Ross Goroshin
Varun Gulshan
19
0
0
26 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via
  Meta-Learning and Disentangled Training With Adversarial Examples
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
Zhenyu Wang
John H. L. Hansen
AAML
30
1
0
23 Aug 2024
Narrowing the Focus: Learned Optimizers for Pretrained Models
Narrowing the Focus: Learned Optimizers for Pretrained Models
Gus Kristiansen
Mark Sandler
A. Zhmoginov
Nolan Miller
Anirudh Goyal
Jihwan Lee
Max Vladymyrov
39
1
0
17 Aug 2024
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for
  Cancer Survival Prediction
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction
Hui Luo
Jiashuang Huang
Hengrong Ju
Tianyi Zhou
Weiping Ding
36
0
0
08 Aug 2024
Enhancing Partially Spoofed Audio Localization with Boundary-aware
  Attention Mechanism
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism
Jiafeng Zhong
Bin Li
Jiangyan Yi
27
1
0
31 Jul 2024
Unmasking Social Bots: How Confident Are We?
Unmasking Social Bots: How Confident Are We?
J. Giroux
Ariyarathne Gangani
Alexander C. Nwala
C. Fanelli
31
1
0
18 Jul 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening
Shuyang Cheng
Guangyu Shen
Kaiyuan Zhang
Guanhong Tao
Shengwei An
Hanxi Guo
Shiqing Ma
Xiangyu Zhang
AAML
28
0
0
16 Jul 2024
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental
  CBCT
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT
Chunshi Wang
Bin Zhao
Shuxue Ding
3DV
43
0
0
15 Jul 2024
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular
  Prediction with Tree-hybrid MLPs
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs
Jiahuan Yan
Jintai Chen
Qianxing Wang
Danny Chen
Jian Wu
40
3
0
13 Jul 2024
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Don't Fear Peculiar Activation Functions: EUAF and Beyond
Qianchao Wang
Shijun Zhang
Dong Zeng
Zhaoheng Xie
Hengtao Guo
Feng-Lei Fan
Tieyong Zeng
39
3
0
12 Jul 2024
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for
  MPNs Subtype Classification
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
Yuan Zhang
Yaolei Qi
Xiaoming Qi
Yongyue Wei
Guanyu Yang
38
2
0
11 Jul 2024
Trainable Highly-expressive Activation Functions
Trainable Highly-expressive Activation Functions
Irit Chelly
Shahaf E. Finder
Shira Ifergane
O. Freifeld
31
4
0
10 Jul 2024
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal
  Biomedical Representation
GTP-4o: Modality-prompted Heterogeneous Graph Learning for Omni-modal Biomedical Representation
Chenxin Li
Xinyu Liu
Cheng Wang
Yifan Liu
Weihao Yu
Jing Shao
Yixuan Yuan
40
13
0
08 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space
  Calibration
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Hangting Ye
Wei Fan
Xiaozhuang Song
Shun Zheng
He Zhao
Dandan Guo
Yi Chang
OOD
40
18
0
07 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox
TALENT: A Tabular Analytics and Learning Toolbox
Si-Yang Liu
Hao-Run Cai
Qi-Le Zhou
Han-Jia Ye
LMTD
33
4
0
04 Jul 2024
Multimodal Prototyping for cancer survival prediction
Multimodal Prototyping for cancer survival prediction
Andrew H. Song
Richard J. Chen
Guillaume Jaume
Anurag J. Vaidya
Alexander S. Baras
Faisal Mahmood
24
12
0
28 Jun 2024
RepAct: The Re-parameterizable Adaptive Activation Function
RepAct: The Re-parameterizable Adaptive Activation Function
Xian Wu
Qingchuan Tao
Shuang Wang
41
0
0
28 Jun 2024
Multimodal Data Integration for Precision Oncology: Challenges and
  Future Directions
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions
Huajun Zhou
Fengtao Zhou
Chenyu Zhao
Yingxue Xu
Luyang Luo
Hao Chen
32
5
0
28 Jun 2024
Neural Texture Block Compression
Neural Texture Block Compression
S. Fujieda
Takahiro Harada
29
0
0
27 Jun 2024
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide
  Pathological Images
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images
Songhan Jiang
Zhengyu Gan
Linghan Cai
Yifeng Wang
Yongbing Zhang
25
0
0
25 Jun 2024
Knowledge-driven Subspace Fusion and Gradient Coordination for
  Multi-modal Learning
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning
Yupei Zhang
Xiaofei Wang
Fangliangzi Meng
Jin Tang
Chao Li
MedIm
21
2
0
20 Jun 2024
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed
  Autonomous Navigation
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous Navigation
Timothy K Johnsen
Ian Harshbarger
Zixia Xia
Marco Levorato
25
1
0
18 Jun 2024
Self-Distillation Prototypes Network: Learning Robust Speaker
  Representations without Supervision
Self-Distillation Prototypes Network: Learning Robust Speaker Representations without Supervision
Yafeng Chen
Siqi Zheng
Hui Wang
Luyao Cheng
Qian Chen
Shiliang Zhang
Wen Wang
SSL
29
2
0
17 Jun 2024
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction
Conghao Xiong
Hao Chen
Hao Zheng
Dong Wei
Yefeng Zheng
Joseph J. Y. Sung
Irwin King
MoE
29
10
0
14 Jun 2024
Neural NeRF Compression
Neural NeRF Compression
Tuan Pham
Stephan Mandt
43
1
0
13 Jun 2024
Unified Modeling Enhanced Multimodal Learning for Precision
  Neuro-Oncology
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology
Huahui Yi
Xiaofei Wang
Kang Li
Chao Li
35
0
0
11 Jun 2024
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor
  Microenvironment Subtype Prediction
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
Fangliangzi Meng
Hongrun Zhang
Ruodan Yan
Guohui Chuai
Chao Li
Qi Liu
MedIm
35
2
0
10 Jun 2024
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