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Self-Normalizing Neural Networks

Neural Information Processing Systems (NeurIPS), 2017

8 June 2017

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Papers citing "Self-Normalizing Neural Networks"

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TabDeco: A Comprehensive Contrastive Framework for Decoupled Representations in Tabular Data Suiyao Chen Jing Wu Yunxiao Wang Cheng Ji Tianpei Xie Daniel Cociorva Michael Sharps Cecile Levasseur Hakan Brunzell LMTD 295 2 0 17 Nov 2024
MicroCrackAttentionNeXt: Advancing Microcrack Detection in Wave Field Analysis Using Deep Neural Networks through Feature VisualizationItalian National Conference on Sensors (INS), 2024 Fatahlla Moreh Yusuf Hasan Bilal Zahid Hussain Mohammad Ammar Sven Tomforde 131 1 0 15 Nov 2024
Free Lunch in Pathology Foundation Model: Task-specific Model Adaptation with Concept-Guided Feature EnhancementNeural Information Processing Systems (NeurIPS), 2024 Yanyan Huang Weiqin Zhao Yihang Chen Yu Fu Lequan Yu MedIm 260 7 0 15 Nov 2024
Forecasting Mortality in the Middle-Aged and Older Population of England: A 1D-CNN Approach Marjan Qazvini 82 0 0 01 Nov 2024
TabM: Advancing Tabular Deep Learning with Parameter-Efficient EnsemblingInternational Conference on Learning Representations (ICLR), 2024 Yury Gorishniy Akim Kotelnikov Artem Babenko LMTD MoE 731 43 0 31 Oct 2024
Power side-channel leakage localization through adversarial training of deep neural networks Jimmy Gammell A. Raghunathan Kaushik Roy AAML 237 0 0 29 Oct 2024
Emergence of Globally Attracting Fixed Points in Deep Neural Networks With Nonlinear ActivationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Amir Joudaki Thomas Hofmann MLT 154 0 0 26 Oct 2024
Emotion Recognition with Facial Attention and Objective Activation Functions Andrzej Miskow Abdulrahman Altahhan CVBM 163 0 0 23 Oct 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2024 C. Linse Erhardt Barth Thomas Martinetz 168 2 0 22 Oct 2024
TabSeq: A Framework for Deep Learning on Tabular Data via Sequential OrderingInternational Conference on Pattern Recognition (ICPR), 2024 A. Habib Kesheng Wang Mary-Anne Hartley Gianfranco Doretto Donald Adjeroh LMTD 249 1 0 17 Oct 2024
HSR-Enhanced Sparse Attention Acceleration Bo Chen Yingyu Liang Zhizhou Sha Zhenmei Shi Zhao Song 734 24 0 14 Oct 2024
Towards virtual painting recolouring using Vision Transformer on X-Ray Fluorescence datacubes A. Bombini Fernando García-Avello Bofías Francesca Giambi Chiara Ruberto 205 1 0 11 Oct 2024
DeepOSets: Non-Autoregressive In-Context Learning with Permutation-Invariance Inductive Bias Shao-Ting Chiu Junyuan Hong Ulisses Braga-Neto BDL 289 2 0 11 Oct 2024
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov--Arnold Networks Yihang Gao Vincent Y. F. Tan ODL 136 2 0 10 Oct 2024
RelUNet: Relative Channel Fusion U-Net for Multichannel Speech Enhancement Ibrahim Aldarmaki Thamar Solorio Bhiksha Raj Hanan Aldarmaki 116 1 0 07 Oct 2024
Topology-Informed Machine Learning for Efficient Prediction of Solid Oxide Fuel Cell Electrode PolarizationEnergy and AI (EA), 2024 Maksym Szemer Szymon Buchaniec Tomasz Prokop G. Brus 145 10 0 04 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown Xingzhou Lou Dong Yan Wei Shen Yuzi Yan Jian Xie Junge Zhang 413 39 0 01 Oct 2024
Cauchy activation function and XNetNeural Networks (NN), 2024 Xin Li Zhihong Xia Hongkun Zhang 363 9 0 28 Sep 2024
A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applicationsComputer Physics Communications (CPC), 2024 Joshua Albert Csaba Balazs A. Fowlie Will Handley Nicholas Hunt-Smith Roberto Ruiz de Austri Martin White 268 6 0 27 Sep 2024
CombU: A Combined Unit Activation for Fitting Mathematical Expressions with Neural Networks Jiayu Li Zilong Zhao Kevin Yee Uzair Javaid Biplab Sikdar 95 1 0 25 Sep 2024
GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data Gleb Bazhenov Oleg Platonov Liudmila Prokhorenkova LMTD 345 2 0 22 Sep 2024
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Chengkun Sun Jinqian Pan Russell Stevens Terry Jiang Bian Jie Xu DiffM 109 1 0 19 Sep 2024
FedAT: Federated Adversarial Training for Distributed Insider Threat Detection R. Gayathri Atul Sajjanhar Md Palash Uddin Yong Xiang FedML 168 0 0 19 Sep 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation Kevin Potter Carianne Martinez Reina Pradhan Samantha Brozak Steven Sleder Lauren Wheeler AI4Cl AI4CE 146 1 0 19 Sep 2024
NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis Romeo Lanzino Federico Fontana Luigi Cinque Francesco Scarcello Atsuto Maki MedIm 172 4 0 18 Sep 2024
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-Núñez 257 2 0 13 Sep 2024
ExIQA: Explainable Image Quality Assessment Using Distortion Attributes Sepehr Kazemi Ranjbar Emad Fatemizadeh 263 3 0 10 Sep 2024
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 190 3 0 30 Aug 2024
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 104 1 0 26 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial ExamplesIEEE Access (IEEE Access), 2024 Zhenyu Wang John H. L. Hansen AAML 253 5 0 23 Aug 2024
Narrowing the Focus: Learned Optimizers for Pretrained Models Gus Kristiansen Mark Sandler A. Zhmoginov Nolan Miller Anirudh Goyal Jihwan Lee Max Vladymyrov 290 2 0 17 Aug 2024
Pan-cancer gene set discovery via scRNA-seq for optimal deep learning based downstream tasks Jong Hyun Kim Jongseong Jang 91 1 0 13 Aug 2024
M2EF-NNs: Multimodal Multi-instance Evidence Fusion Neural Networks for Cancer Survival Prediction Hui Luo Jiashuang Huang Hengrong Ju Tianyi Zhou Weiping Ding 150 1 0 08 Aug 2024
Enhancing Partially Spoofed Audio Localization with Boundary-aware Attention Mechanism Jiafeng Zhong Bin Li Jiangyan Yi 232 12 0 31 Jul 2024
$u-$\mu$P: The Unit-Scaled Maximal Update Parametrization$ u- $\mu$ P: The Unit-Scaled Maximal Update Parametrization Charlie Blake C. Eichenberg Josef Dean Lukas Balles Luke Y. Prince Bjorn Deiseroth Andres Felipe Cruz Salinas Carlo Luschi Samuel Weinbach Douglas Orr 276 17 0 24 Jul 2024
Unmasking Social Bots: How Confident Are We? J. Giroux Ariyarathne Gangani Alexander C. Nwala C. Fanelli 230 4 0 18 Jul 2024
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 224 0 0 16 Jul 2024
A Multi-Stage Framework for 3D Individual Tooth Segmentation in Dental CBCT Chunshi Wang Bin Zhao Shuxue Ding 3DV 291 0 0 15 Jul 2024
Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular Prediction with Tree-hybrid MLPs Jiahuan Yan Jintai Chen Qianxing Wang Benlin Liu Jian Wu 220 6 0 13 Jul 2024
Don't Fear Peculiar Activation Functions: EUAF and Beyond Qianchao Wang Shijun Zhang Dong Zeng Zhaoheng Xie Hengtao Guo Feng-Lei Fan Tieyong Zeng 235 4 0 12 Jul 2024
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification Yuan Zhang Yaolei Qi Xiaoming Qi Yongyue Wei Guanyu Yang 149 3 0 11 Jul 2024
Trainable Highly-expressive Activation Functions Irit Chelly Shahaf E. Finder Shira Ifergane Oren Freifeld 299 8 0 10 Jul 2024
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 207 32 0 08 Jul 2024
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration Hangting Ye Wei Fan Xiaozhuang Song Shun Zheng He Zhao Dandan Guo Yi Chang OOD 213 33 0 07 Jul 2024
TALENT: A Tabular Analytics and Learning Toolbox Si-Yang Liu Hao-Run Cai Qi-Le Zhou Han-Jia Ye LMTD 236 14 0 04 Jul 2024
A Closer Look at Deep Learning Methods on Tabular Datasets Han-Jia Ye Si-Yang Liu Hao-Run Cai Qi-Le Zhou De-Chuan Zhan LMTD 279 4 0 01 Jul 2024
Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning Matthew Lowery John Turnage Zachary Morrow J. Jakeman Akil Narayan Shandian Zhe Varun Shankar 176 5 0 30 Jun 2024
Multimodal Prototyping for cancer survival prediction Andrew H. Song Richard J. Chen Guillaume Jaume Anurag J. Vaidya Alexander S. Baras Faisal Mahmood 323 38 0 28 Jun 2024
RepAct: The Re-parameterizable Adaptive Activation Function Xian Wu Qingchuan Tao Shuang Wang 307 0 0 28 Jun 2024
Multimodal Data Integration for Precision Oncology: Challenges and Future Directions Huajun Zhou Fengtao Zhou Chenyu Zhao Yingxue Xu Luyang Luo Hao Chen 296 18 0 28 Jun 2024