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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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Title
Neural Texture Block Compression S. Fujieda Takahiro Harada 166 4 0 27 Jun 2024
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images Songhan Jiang Zhengyu Gan Linghan Cai Yifeng Wang Yongbing Zhang 121 7 0 25 Jun 2024
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning Yupei Zhang Xiaofei Wang Fangliangzi Meng Jin Tang Chao Li MedIm 160 8 0 20 Jun 2024
NaviSplit: Dynamic Multi-Branch Split DNNs for Efficient Distributed Autonomous NavigationIEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2024 Timothy K Johnsen Ian Harshbarger Zixia Xia Marco Levorato 153 3 0 18 Jun 2024
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 140 6 0 17 Jun 2024
MoME: Mixture of Multimodal Experts for Cancer Survival PredictionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Conghao Xiong Hao Chen Hao Zheng Dong Wei Yefeng Zheng Joseph J. Y. Sung Irwin King MoE 207 25 0 14 Jun 2024
Neural NeRF Compression Tuan Pham Stephan Mandt 218 3 0 13 Jun 2024
Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology Huahui Yi Xiaofei Wang Kang Li Chao Li 150 2 0 11 Jun 2024
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 233 2 0 10 Jun 2024
Siren -- Advancing Cybersecurity through Deception and Adaptive Analysis Girish Kulathumani Samruth Ananthanarayanan Ganesh Narayanan AAML 574 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 322 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 288 6 0 04 Jun 2024
Causal Contrastive Learning for Counterfactual Regression Over Time Mouad El Bouchattaoui Myriam Tami Benoit Lepetit P. Cournède CML AI4TS 348 6 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 295 0 0 29 May 2024
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals Ilia Azizi M. Boldi V. Chavez-Demoulin 576 1 0 28 May 2024
Audio Mamba: Pretrained Audio State Space Model For Audio Tagging Jiaju Lin Haoxuan Hu Mamba 181 13 0 22 May 2024
Quantile Activation: Correcting a Failure Mode of ML Models Aditya Challa Sravan Danda Laurent Najman Snehanshu Saha UQCV 336 0 0 19 May 2024
ResSurv: Cancer Survival Analysis Prediction Model Based on Residual Networks Wankang Zhai OOD 55 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 286 0 0 04 May 2024
Recovering Labels from Local Updates in Federated Learning Huancheng Chen H. Vikalo FedML AAML 103 7 0 02 May 2024
CrossMatch: Enhance Semi-Supervised Medical Image Segmentation with Perturbation Strategies and Knowledge Distillation Bin Zhao Chunshi Wang Shuxue Ding 189 7 0 01 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni Paul H. Yi Vishwa S. Parekh 341 1 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 222 8 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 Bingsheng Huang Dong Liang Zhenyu Zhang Zhicheng Li AI4CE 88 1 0 11 Apr 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows Gavin Kerrigan Giosue Migliorini Padhraic Smyth OT 500 22 0 05 Apr 2024
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival AnalysisIEEE Transactions on Medical Imaging (IEEE TMI), 2024 Huajun Zhou Fengtao Zhou Hao Chen 192 18 0 03 Apr 2024
Remote sensing framework for geological mapping via stacked autoencoders and clusteringAdvances in Space Research (Adv. Space Res.), 2024 Sandeep Nagar E. Farahbakhsh Joseph Awange Rohitash Chandra 202 9 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 150 3 0 01 Apr 2024
Physics-Informed Graph Neural Networks for Water Distribution Systems Inaam Ashraf Janine Strotherm L. Hermes Barbara Hammer AI4CE 229 20 0 27 Mar 2024
State Space Models as Foundation Models: A Control Theoretic Overview Carmen Amo Alonso Jerome Sieber Melanie Zeilinger AI4CE Mamba 191 20 0 25 Mar 2024
Anytime Neural Architecture Search on Tabular Data Naili Xing Shaofeng Cai Zhaojing Luo Bengchin Ooi Jian Pei 284 3 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 173 8 0 15 Mar 2024
Methods for Matching English Language Addresses Keshav Ramani Daniel Borrajo 128 4 0 14 Mar 2024
GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks Lisa Schneckenreiter Richard Freinschlag Florian Sestak Johannes Brandstetter Günter Klambauer Andreas Mayr 216 6 0 07 Mar 2024
A mechanism-driven reinforcement learning framework for shape optimization of airfoils Jingfeng Wang Guanghui Hu 181 2 0 07 Mar 2024
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology Yuanzhe Peng Jieming Bian Jie Xu 204 12 0 24 Feb 2024
Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning Johnathan Xie Yoonho Lee Annie S. Chen Chelsea Finn 159 4 0 22 Feb 2024
Exploring the Relationship: Transformative Adaptive Activation Functions in Comparison to Other Activation Functions Vladimír Kunc 274 3 0 14 Feb 2024
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks B. Subramanian Rathinaraja Jeyaraj Akhrorjon Akhmadjon Ugli Rakhmonov ODL AAML 287 5 0 13 Feb 2024
Zero-shot Imputation with Foundation Inference Models for Dynamical SystemsInternational Conference on Learning Representations (ICLR), 2024 Patrick Seifner K. Cvejoski Ramses J. Sanchez Ramsés J. Sánchez AI4TS AI4CE 405 1 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 96 0 0 02 Feb 2024
Scale Equalization for Multi-Level Feature Fusion Bum Jun Kim Sang Woo Kim 62 1 0 02 Feb 2024
Datacube segmentation via Deep Spectral Clustering A. Bombini Fernando García-Avello Bofías Caterina Bracci Michele Ginolfi Chiara Ruberto 338 1 0 31 Jan 2024
MambaTab: A Plug-and-Play Model for Learning Tabular DataConference on Multimedia Information Processing and Retrieval (MIPR), 2024 Md Atik Ahamed Qiang Cheng Mamba LMTD 233 14 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 125 0 0 14 Jan 2024
SwitchTab: Switched Autoencoders Are Effective Tabular LearnersAAAI Conference on Artificial Intelligence (AAAI), 2024 Jing Wu Suiyao Chen Qi Zhao Renat Sergazinov Chen Li ... Tianpei Xie Hanqing Guo Cheng Ji Daniel Cociorva Hakan Brunzel SSL 252 56 0 04 Jan 2024
Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival PredictionInternational Conference on Learning Representations (ICLR), 2024 Yilan Zhang Yingxue Xu Jianqi Chen Fengying Xie Hao Chen 300 53 0 03 Jan 2024
DREAM: Debugging and Repairing AutoML PipelinesACM Transactions on Software Engineering and Methodology (TOSEM), 2023 Xiaoyu Zhang Juan Zhai Shiqing Ma Chao Shen 290 4 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 119 0 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 217 32 0 20 Dec 2023