Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 866 papers shown

Title
Efficient Activation Function Optimization through Surrogate Modeling G. Bingham Risto Miikkulainen 16 2 0 13 Jan 2023
Low PAPR MIMO-OFDM Design Based on Convolutional Autoencoder Yara Huleihel H. Permuter 25 6 0 11 Jan 2023
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering Yao Liang H. Fang Yi Zeng Feifei Zhao OOD 28 2 0 07 Jan 2023
A Learning-Based Optimal Uncertainty Quantification Method and Its Application to Ballistic Impact Problems Xin-Xiang Sun Burigede Liu 23 2 0 28 Dec 2022
Neural Continuous-Time Markov Models Majerle Reeves Harish S. Bhat 8 0 0 11 Dec 2022
Deep Learning Methods for Partial Differential Equations and Related Parameter Identification Problems Derick Nganyu Tanyu Jianfeng Ning Tom Freudenberg Nick Heilenkötter A. Rademacher U. Iben Peter Maass AI4CE 23 34 0 06 Dec 2022
CLIPascene: Scene Sketching with Different Types and Levels of Abstraction Yael Vinker Yuval Alaluf Daniel Cohen-Or Ariel Shamir CLIP 19 54 0 30 Nov 2022
T2G-Former: Organizing Tabular Features into Relation Graphs Promotes Heterogeneous Feature Interaction Jiahuan Yan Jintai Chen YiXuan Wu D. Z. Chen Jian Wu 22 35 0 30 Nov 2022
A Deep Learning Approach to the Prediction of Drug Side-Effects on Molecular Graphs P. Bongini Elisa Messori Niccolò Pancino Monica Bianchini GNN OOD 21 2 0 30 Nov 2022
Differentiable Dictionary Search: Integrating Linear Mixing with Deep Non-Linear Modelling for Audio Source Separation Lukávs Samuel Marták Rainer Kelz Gerhard Widmer 15 1 0 28 Nov 2022
Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries L. Marták Rainer Kelz Gerhard Widmer 12 2 0 28 Nov 2022
Audio Anti-spoofing Using a Simple Attention Module and Joint Optimization Based on Additive Angular Margin Loss and Meta-learning John H. L. Hansen Zhenyu Wang 32 15 0 17 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up Luke Metz James Harrison C. Freeman Amil Merchant Lucas Beyer ... Naman Agrawal Ben Poole Igor Mordatch Adam Roberts Jascha Narain Sohl-Dickstein 29 60 0 17 Nov 2022
Spatial Graph Convolution Neural Networks for Water Distribution Systems Inaam Ashraf L. Hermes André Artelt Barbara Hammer GNN 21 7 0 17 Nov 2022
Perona: Robust Infrastructure Fingerprinting for Resource-Efficient Big Data Analytics Dominik Scheinert Soeren Becker Jonathan Bader L. Thamsen Jonathan Will O. Kao 14 3 0 15 Nov 2022
SSM-Net: feature learning for Music Structure Analysis using a Self-Similarity-Matrix based loss Geoffroy Peeters Florian Angulo 11 1 0 15 Nov 2022
Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos Adrien Courtois Jean-Michel Morel Pablo Arias 16 5 0 07 Nov 2022
MONAI: An open-source framework for deep learning in healthcare M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma E. Kerfoot ... Klaus H. Maier-Hein S. Aylward Prerna Dogra Sebastien Ourselin Andrew Feng 46 481 0 04 Nov 2022
Optical Channel Impulse Response-Based Localization Using An Artificial Neural Network Hamid Hosseinianfar H. Rabbani M. Brandt-Pearce 8 0 0 02 Nov 2022
Joint Graph Convolution for Analyzing Brain Structural and Functional Connectome Yueting Li Qingyue Wei Ehsan Adeli K. Pohl Qingyu Zhao 16 10 0 27 Oct 2022
MetaFormer Baselines for Vision Weihao Yu Chenyang Si Pan Zhou Mi Luo Yichen Zhou Jiashi Feng Shuicheng Yan Xinchao Wang MoE 34 156 0 24 Oct 2022
Stochastic Adaptive Activation Function Kyungsu Lee Jaeseung Yang Haeyun Lee J. Y. Hwang 30 3 0 21 Oct 2022
SignReLU neural network and its approximation ability Jianfei Li Han Feng Ding-Xuan Zhou 19 3 0 19 Oct 2022
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms Xiaoyu Fan Kun Chen Guosai Wang Mingchun Zhuang Yi Li Wei-ping Xu 17 11 0 18 Oct 2022
Nish: A Novel Negative Stimulated Hybrid Activation Function Yildiray Anagün Ş. Işık 19 2 0 17 Oct 2022
MSDS: A Large-Scale Chinese Signature and Token Digit String Dataset for Handwriting Verification Peirong Zhang Jiajia Jiang Yuliang Liu Lianwen Jin 35 5 0 17 Oct 2022
Learning to Optimize Quasi-Newton Methods Isaac Liao Rumen Dangovski Jakob N. Foerster Marin Soljacic 36 4 0 11 Oct 2022
Using Gradient to Boost the Generalization Performance of Deep Learning Models for Fluid Dynamics Eduardo Vital Brasil OOD AI4CE 22 0 0 09 Oct 2022
Real-World Robot Learning with Masked Visual Pre-training Ilija Radosavovic Tete Xiao Stephen James Pieter Abbeel Jitendra Malik Trevor Darrell SSL 156 239 0 06 Oct 2022
New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation K. Kong Konstantin T. Matchev S. Mrenna Prasanth Shyamsundar 16 7 0 04 Oct 2022
BayesFT: Bayesian Optimization for Fault Tolerant Neural Network Architecture Nanyang Ye Jingbiao Mei Zhicheng Fang Yuwen Zhang Ziqing Zhang Huaying Wu Xiaoyao Liang OOD 23 5 0 30 Sep 2022
A Robust and Explainable Data-Driven Anomaly Detection Approach For Power Electronics Alexander Beattie Pavol Mulinka Subham S. Sahoo I. Christou Charalampos Kalalas Daniel Gutierrez-Rojas P. H. Nardelli 23 5 0 23 Sep 2022
NashAE: Disentangling Representations through Adversarial Covariance Minimization Eric C. Yeats Frank Liu David A. P. Womble Hai Helen Li CML 38 10 0 21 Sep 2022
Towards Real Time Thermal Simulations for Design Optimization using Graph Neural Networks H. Sanchis-Alepuz Monika Stipsitz AI4CE 6 4 0 21 Sep 2022
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network T. Kanazawa Chetan Gupta UQCV 30 4 0 17 Sep 2022
The effectiveness of factorization and similarity blending Andrea Pinto Giacomo Camposampiero Loic Houmard Marc Lundwall 18 0 0 16 Sep 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 22 23 0 16 Sep 2022
How important are activation functions in regression and classification? A survey, performance comparison, and future directions Ameya Dilip Jagtap George Karniadakis AI4CE 29 71 0 06 Sep 2022
Estimation of Correlation Matrices from Limited time series Data using Machine Learning Nikhil Easaw Woo Soek Prashant Singh Lohiya S. Jalan Priodyuti Pradhan 16 6 0 02 Sep 2022
ANAct: Adaptive Normalization for Activation Functions Peiwen Yuan Henan Liu Changsheng Zhu Yuyi Wang 13 1 0 29 Aug 2022
A Study on Broadcast Networks for Music Genre Classification Ahmed Heakl A. Abdelgawad Victor Parque 11 6 0 25 Aug 2022
A Novel Plug-and-Play Approach for Adversarially Robust Generalization Deepak Maurya Adarsh Barik Jean Honorio OOD AAML 38 0 0 19 Aug 2022
A Scalable, Interpretable, Verifiable & Differentiable Logic Gate Convolutional Neural Network Architecture From Truth Tables Adrien Benamira Tristan Guérand Thomas Peyrin Trevor Yap Bryan Hooi 32 1 0 18 Aug 2022
Neural Networks for Extreme Quantile Regression with an Application to Forecasting of Flood Risk Olivier C. Pasche Sebastian Engelke 6 29 0 16 Aug 2022
Improving the Trainability of Deep Neural Networks through Layerwise Batch-Entropy Regularization David Peer Bart Keulen Sebastian Stabinger J. Piater A. Rodríguez-Sánchez 34 6 0 01 Aug 2022
giMLPs: Gate with Inhibition Mechanism in MLPs Cheng Kang Jindich Prokop Lei Tong Huiyu Zhou Yong Hu Daneil Novak 21 0 0 01 Aug 2022
Computational complexity reduction of deep neural networks Mee Seong Im Venkateswara Dasari 15 1 0 29 Jul 2022
PEA: Improving the Performance of ReLU Networks for Free by Using Progressive Ensemble Activations Á. Utasi 27 0 0 28 Jul 2022
A Dataset Generation Framework for profiling Disassembly attacks using Side-Channel Leakages and Deep Neural Networks Pouya Narimani Seyedamin Habibi M. Akhaee AAML 4 1 0 25 Jul 2022
Sobolev Training for Implicit Neural Representations with Approximated Image Derivatives Wentao Yuan Qingtian Zhu Xiangyue Liu Yikang Ding Haotian Zhang Chi Zhang 14 3 0 21 Jul 2022