Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 866 papers shown

Title
Siren -- Advancing Cybersecurity through Deception and Adaptive Analysis Girish Kulathumani Samruth Ananthanarayanan Ganesh Narayanan AAML 46 0 0 10 Jun 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 35 0 0 05 Jun 2024
Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy Learning Ricardo B. Grando Raul Steinmetz V. A. Kich A. H. Kolling Pablo M. Furik J. C. Jesus Bruna V. Guterres D. T. Gamarra R. S. Guerra Paulo L. J. Drews-Jr 40 5 0 04 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 38 2 0 01 Jun 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization Jordi Armengol-Estapé Vincent Michalski Ramnath Kumar P. St-Charles Doina Precup Samira Ebrahimi Kahou 28 0 0 29 May 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 95 0 0 28 May 2024
Audio Mamba: Pretrained Audio State Space Model For Audio Tagging Jiaju Lin Haoxuan Hu Mamba 39 7 0 22 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models Aditya Challa Sravan Danda Laurent Najman Snehanshu Saha UQCV 36 0 0 19 May 2024
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks Wankang Zhai OOD 28 0 0 11 May 2024
Your Network May Need to Be Rewritten: Network Adversarial Based on High-Dimensional Function Graph Decomposition Xiaoyan Su Yinghao Zhu Run Li AAML 32 0 0 04 May 2024
Recovering Labels from Local Updates in Federated Learning Huancheng Chen H. Vikalo FedML AAML 14 4 0 02 May 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation Bin Zhao Chunshi Wang Shuxue Ding 38 2 0 01 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 Apr 2024
SurvMamba: State Space Model with Multi-grained Multi-modal Interaction for Survival Prediction Ying Chen Jiajing Xie Yuxiang Lin Yuhang Song Wenxian Yang Rongshan Yu Mamba 36 6 0 11 Apr 2024
Pathology-genomic fusion via biologically informed cross-modality graph learning for survival analysis Zeyu Zhang Yuanshen Zhao Jingxian Duan Yaou Liu Hairong Zheng Dong Liang Zhenyu Zhang Zhicheng Li AI4CE 18 0 0 11 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 38 10 0 05 Apr 2024
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis Huajun Zhou Fengtao Zhou Hao Chen 24 3 0 03 Apr 2024
Remote sensing framework for geological mapping via stacked autoencoders and clustering Sandeep Nagar E. Farahbakhsh Joseph Awange Rohitash Chandra 23 3 0 02 Apr 2024
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer Fengtao Zhou Ying Xu Yanfen Cui Shenyang Zhang Yun Zhu ... Louis Ho Shing Lau Chu Han Dafu Zhang Zhenhui Li Hao Chen 30 1 0 01 Apr 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 30 6 0 27 Mar 2024
State Space Models as Foundation Models: A Control Theoretic Overview Carmen Amo Alonso Jerome Sieber M. Zeilinger AI4CE Mamba 36 13 0 25 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 34 1 0 15 Mar 2024
Histo-Genomic Knowledge Distillation For Cancer Prognosis From Histopathology Whole Slide Images Zhikang Wang Yumeng Zhang Yingxue Xu S. Imoto Hao Chen Jiangning Song 25 6 0 15 Mar 2024
Methods for Matching English Language Addresses Keshav Ramani Daniel Borrajo 21 1 0 14 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter G. Klambauer Andreas Mayr 28 5 0 07 Mar 2024
A mechanism-driven reinforcement learning framework for shape optimization of airfoils Jingfeng Wang Guanghui Hu 23 1 0 07 Mar 2024
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology Yuanzhe Peng Jieming Bian Jie Xu 22 4 0 24 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Xie Yoonho Lee Annie S. Chen Chelsea Finn 25 3 0 22 Feb 2024
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions Vladimír Kunc 18 1 0 14 Feb 2024
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks B. Subramanian Rathinaraja Jeyaraj Akhrorjon Akhmadjon Ugli Rakhmonov Jeonghong Kim ODL AAML 18 2 0 13 Feb 2024
Zero-shot Imputation with Foundation Inference Models for Dynamical Systems Patrick Seifner K. Cvejoski Ramses J. Sanchez Ramsés J. Sánchez AI4TS AI4CE 18 3 0 12 Feb 2024
FPGA Deployment of LFADS for Real-time Neuroscience Experiments Xiaohan Liu ChiJui Chen YanLun Huang LingChi Yang Elham E Khoda Yihui Chen Scott Hauck Shih-Chieh Hsu Bo-Cheng Lai AI4CE 22 0 0 02 Feb 2024
Scale Equalization for Multi-Level Feature Fusion Bum Jun Kim Sang Woo Kim 11 1 0 02 Feb 2024
Datacube segmentation via Deep Spectral Clustering A. Bombini Fernando García-Avello Bofías Caterina Bracci Michele Ginolfi Chiara Ruberto 77 1 0 31 Jan 2024
MambaTab: A Plug-and-Play Model for Learning Tabular Data Md. Atik Ahamed Qiang Cheng Mamba LMTD 28 12 0 16 Jan 2024
Generation of Synthetic Images for Pedestrian Detection Using a Sequence of GANs Viktor Seib Malte Roosen Ida Germann Stefan Wirtz Dietrich Paulus 18 0 0 14 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular Learners Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 52 37 0 04 Jan 2024
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction Yilan Zhang Yingxue Xu Jianqi Chen Fengying Xie Hao Chen 40 25 0 03 Jan 2024
DREAM: Debugging and Repairing AutoML Pipelines Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 16 1 0 31 Dec 2023
Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant S. Martino João Morado Chenghao Li Zhenghao Lu E. Rosta GNN 9 1 0 22 Dec 2023
DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization Aritra Bhowmick Mert Kosan Zexi Huang Ambuj K. Singh Sourav Medya 17 17 0 20 Dec 2023
Principled Weight Initialisation for Input-Convex Neural Networks Pieter-Jan Hoedt G. Klambauer 30 5 0 19 Dec 2023
A Framework for Exploring Federated Community Detection Will Leeney Ryan McConville FedML 31 2 0 14 Dec 2023
Analyzing and Improving the Training Dynamics of Diffusion Models Tero Karras M. Aittala J. Lehtinen Janne Hellsten Timo Aila S. Laine 28 155 0 05 Dec 2023
Thermally Averaged Magnetic Anisotropy Tensors via Machine Learning Based on Gaussian Moments Viktor Zaverkin Julia Netz Fabian Zills Andreas Köhn Johannes Kastner AI4CE 22 16 0 03 Dec 2023
Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed? Francisco J. Martínez-Murcia Juan M Gorriz J. Ramírez A. Ortiz 11 74 0 21 Nov 2023
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features Mingxin Liu Yunzan Liu Hui Cui Chunquan Li Jiquan Ma 27 9 0 20 Nov 2023
Improved weight initialization for deep and narrow feedforward neural network Hyunwoo Lee Yunho Kim Seungyeop Yang Hayoung Choi ODL 19 3 0 07 Nov 2023
RELand: Risk Estimation of Landmines via Interpretable Invariant Risk Minimization Mateo Dulce Rubio Siqi Zeng Qi Wang Didier Alvarado Francisco Moreno Hoda Heidari Fei Fang 32 2 0 06 Nov 2023
Procedural Fairness Through Decoupling Objectionable Data Generating Components Zeyu Tang Jialu Wang Yang Liu Peter Spirtes Kun Zhang 24 2 0 05 Nov 2023