Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown

Title
Towards Private Learning on Decentralized Graphs with Local Differential Privacy Wanyu Lin Baochun Li Cong Wang FedML 47 43 0 23 Jan 2022
An Attention-based ConvLSTM Autoencoder with Dynamic Thresholding for Unsupervised Anomaly Detection in Multivariate Time Series Tareq Tayeh Sulaiman A. Aburakhia Ryan Myers Abdallah Shami AI4TS 47 33 0 23 Jan 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis Muhammad Muneeb Saad Ruairi O'Reilly M. H. Rehmani MedIm 44 35 0 19 Jan 2022
AESPA: Accuracy Preserving Low-degree Polynomial Activation for Fast Private Inference J. Park M. Kim Wonkyung Jung Jung Ho Ahn LLMSV 8 27 0 18 Jan 2022
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification Qi-Shi Shi Ponnuthurai Nagaratnam Suganthan Rakesh Katuwal 6 22 0 15 Jan 2022
Fighting Money Laundering with Statistics and Machine Learning R. Jensen Alexandros Iosifidis 36 13 0 11 Jan 2022
A Unified and Constructive Framework for the Universality of Neural Networks T. Bui-Thanh 12 6 0 30 Dec 2021
Attentive Multi-View Deep Subspace Clustering Net Run-kun Lu Jian-wei Liu Xin Zuo 6 38 0 23 Dec 2021
Deeper Learning with CoLU Activation Advait Vagerwal 12 1 0 18 Dec 2021
Adaptively Customizing Activation Functions for Various Layers Haigen Hu Aizhu Liu Q. Guan Xiaoxin Li Shengyong Chen Qianwei Zhou 27 11 0 17 Dec 2021
TRACER: Extreme Attention Guided Salient Object Tracing Network Min Seok Lee Wooseok Shin S. W. Han 31 82 0 14 Dec 2021
ImportantAug: a data augmentation agent for speech V. Trinh Hassan Salami Kavaki Michael I. Mandel 27 10 0 14 Dec 2021
Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System Harish S. Bhat K. Collins Prachi Gupta Christine M Isborn 9 3 0 14 Dec 2021
Scalable 3D Semantic Segmentation for Gun Detection in CT Scans Marius Memmel Christoph Reich Nicolas Wagner Faraz Saeedan 43 1 0 07 Dec 2021
More layers! End-to-end regression and uncertainty on tabular data with deep learning Ivan Bondarenko OOD LMTD UQCV 25 4 0 07 Dec 2021
Surrogate-based optimization using an artificial neural network for a parameter identification in a 3D marine ecosystem model M. Pfeil T. Slawig 11 0 0 30 Nov 2021
First Power Linear Unit with Sign Boxi Duan 22 0 0 29 Nov 2021
Why KDAC? A general activation function for knowledge discovery Zhenhua Wang Dong Gao Haozhe Liu Fanglin Liu 24 11 0 27 Nov 2021
KNAS: Green Neural Architecture Search Jingjing Xu Liang Zhao Junyang Lin Rundong Gao Xu Sun Hongxia Yang 27 57 0 26 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio Valerii Likhosherstov Anurag Arnab K. Choromanski Mario Lucic Yi Tay Adrian Weller Mostafa Dehghani ViT 35 73 0 25 Nov 2021
Deep metric learning improves lab of origin prediction of genetically engineered plasmids I. M. Soares Fernando H. F. Camargo Adriano Marques Oliver M. Crook 4 0 0 24 Nov 2021
A Contextual Latent Space Model: Subsequence Modulation in Melodic Sequence Taketo Akama BDL 30 3 0 23 Nov 2021
Robust Learning via Ensemble Density Propagation in Deep Neural Networks Giuseppina Carannante Dimah Dera Ghulam Rasool N. Bouaynaya Lyudmila Mihaylova AAML MDE 29 5 0 10 Nov 2021
A Dataset Perspective on Offline Reinforcement Learning Kajetan Schweighofer Andreas Radler Marius-Constantin Dinu M. Hofmarcher Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter OffRL 30 17 0 08 Nov 2021
Oblique and rotation double random forest M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan V. Snás̃el 14 48 0 03 Nov 2021
Discovering and Exploiting Sparse Rewards in a Learned Behavior Space Giuseppe Paolo Alexandre Coninx Alban Laflaquière Stéphane Doncieux 22 3 0 02 Nov 2021
Learning a perceptual manifold with deep features for animation video resequencing Charles C. Morace T. Le Sheng-Yi Yao Shangzhan Zhang Tong-Yee Lee 15 1 0 02 Nov 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators S. Lowe Robert C. Earle Jason dÉon Thomas Trappenberg Sageev Oore 23 1 0 22 Oct 2021
Edge Rewiring Goes Neural: Boosting Network Resilience without Rich Features Shanchao Yang Kaili Ma Baoxiang Wang Tianshu Yu H. Zha AAML 33 0 0 18 Oct 2021
A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization Chao Ma Lexing Ying MLT 16 2 0 17 Oct 2021
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy Anda Cheng Jiaxing Wang Xi Sheryl Zhang Qiang Chen Peisong Wang Jian Cheng 39 27 0 16 Oct 2021
Two-argument activation functions learn soft XOR operations like cortical neurons Kijung Yoon Emin Orhan Juhyeon Kim Xaq Pitkow MLT 35 0 0 13 Oct 2021
A Trust Crisis In Simulation-Based Inference? Your Posterior Approximations Can Be Unfaithful Joeri Hermans Arnaud Delaunoy François Rozet Antoine Wehenkel Volodimir Begy Gilles Louppe 64 38 0 13 Oct 2021
VC dimension of partially quantized neural networks in the overparametrized regime Yutong Wang Clayton D. Scott 25 1 0 06 Oct 2021
Causal Representation Learning for Context-Aware Face Transfer Gege Gao Huaibo Huang Chaoyou Fu Ran He CVBM 30 0 0 04 Oct 2021
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks Jee-weon Jung Hee-Soo Heo Hemlata Tak Hye-jin Shim Joon Son Chung Bong-Jin Lee Ha-Jin Yu Nicholas W. D. Evans 155 283 0 04 Oct 2021
SurvTRACE: Transformers for Survival Analysis with Competing Events Zifeng Wang Jimeng Sun 46 67 0 02 Oct 2021
Introducing the DOME Activation Functions Mohamed E. Hussein Wael AbdAlmageed 30 1 0 30 Sep 2021
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark S. Dubey S. Singh B. B. Chaudhuri 41 643 0 29 Sep 2021
Reconstructing Cosmic Polarization Rotation with ResUNet-CMB E. Guzman Joel Meyers 30 9 0 20 Sep 2021
Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Viktor Zaverkin David Holzmüller Ingo Steinwart Johannes Kastner 29 19 0 20 Sep 2021
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks G. Bingham Risto Miikkulainen ODL 24 4 0 18 Sep 2021
Mixing between the Cross Entropy and the Expectation Loss Terms Barak Battash Lior Wolf Tamir Hazan UQCV 20 0 0 12 Sep 2021
Towards Fully Automated Segmentation of Rat Cardiac MRI by Leveraging Deep Learning Frameworks Daniel Fernandez-Llaneza Andrea Gondova Harris Vince A. Patra M. Zurek P. Konings Patrik Kagelid L. Hultin 27 4 0 09 Sep 2021
Growing Cosine Unit: A Novel Oscillatory Activation Function That Can Speedup Training and Reduce Parameters in Convolutional Neural Networks M. M. Noel L. Arunkumar A. Trivedi Praneet Dutta 27 26 0 30 Aug 2021
Deep learning for surrogate modelling of 2D mantle convection Siddhant Agarwal Nicola Tosi Pan Kessel D. Breuer G. Montavon AI4TS AI4CE 28 7 0 23 Aug 2021
SERF: Towards better training of deep neural networks using log-Softplus ERror activation Function Sayan Nag Mayukh Bhattacharyya LLMSV 27 22 0 21 Aug 2021
Few-Shot Batch Incremental Road Object Detection via Detector Fusion Anuj Tambwekar Kshitij Agrawal Anay Majee A. Subramanian ObjD 16 5 0 18 Aug 2021
SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation Chenyu You Yuan Zhou Ruihan Zhao Lawrence H. Staib James S. Duncan 35 226 0 13 Aug 2021
MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision Ben Usman Andrea Tagliasacchi Kate Saenko Avneesh Sud 3DH 33 23 0 10 Aug 2021