Self-Normalizing Neural Networks

8 June 2017

Papers citing "Self-Normalizing Neural Networks"

50 / 867 papers shown

Title
Random Vector Functional Link Neural Network based Ensemble Deep Learning Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan M. Tanveer 24 156 0 30 Jun 2019
EmotionX-KU: BERT-Max based Contextual Emotion Classifier Kisu Yang Dongyub Lee Taesun Whang Seolhwa Lee Heuiseok Lim 11 32 0 27 Jun 2019
SGANVO: Unsupervised Deep Visual Odometry and Depth Estimation with Stacked Generative Adversarial Networks Tuo Feng Dongbing Gu MDE GAN 6 66 0 20 Jun 2019
Predicting the Voltage Distribution for Low Voltage Networks using Deep Learning M. Mokhtar Valentin Robu David Flynn Ciaran Higgins Jim Whyte Caroline Loughran Fiona Fulton 13 9 0 19 Jun 2019
Four Things Everyone Should Know to Improve Batch Normalization Cecilia Summers M. Dinneen 25 52 0 09 Jun 2019
A novel approach to model exploration for value function learning Zlatan Ajanović Halil Beglerovic B. Lacevic 11 1 0 06 Jun 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 29 1,658 0 06 Jun 2019
Training Neural Response Selection for Task-Oriented Dialogue Systems Matthew Henderson Ivan Vulić D. Gerz I. Casanueva Paweł Budzianowski Sam Coope Georgios P. Spithourakis Tsung-Hsien Wen N. Mrksic Pei-hao Su 6 110 0 04 Jun 2019
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction Alban Laflaquière Michael Garcia Ortiz 19 6 0 04 Jun 2019
Self-supervised Body Image Acquisition Using a Deep Neural Network for Sensorimotor Prediction Alban Laflaquière Verena V. Hafner 13 6 0 03 Jun 2019
Why Not to Use Zero Imputation? Correcting Sparsity Bias in Training Neural Networks Joonyoung Yi Juhyuk Lee Kwang Joon Kim Sung Ju Hwang Eunho Yang VLM 14 24 0 01 Jun 2019
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 17 61 0 27 May 2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks Kumar Shridhar JoonHo Lee Hideaki Hayashi Purvanshi Mehta Brian Kenji Iwana Seokjun Kang S. Uchida Sheraz Ahmed Andreas Dengel DiffM AAML 19 32 0 26 May 2019
Efficient Neural Task Adaptation by Maximum Entropy Initialization Farshid Varno Behrouz Haji Soleimani Marzie Saghayi Di-Jorio Lisa Stan Matwin AAML 7 6 0 25 May 2019
Hebbian-Descent Jan Melchior Laurenz Wiskott 14 8 0 25 May 2019
HDI-Forest: Highest Density Interval Regression Forest Lin Zhu Jiaxing Lu Yihong Chen 19 6 0 24 May 2019
FSD: Feature Skyscraper Detector for Stem End and Blossom End of Navel Orange Xiaoye Sun Gongyang Li Shaoyun Xu 16 3 0 24 May 2019
Universal Approximation with Deep Narrow Networks Patrick Kidger Terry Lyons 40 327 0 21 May 2019
Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions MohamadAli Torkamani Phillip Wallis Shiv Shankar Pedram Rooshenas 14 5 0 19 May 2019
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models Ahmed Hussen Abdelaziz B. Theobald Justin Binder Gabriele Fanelli Paul Dixon N. Apostoloff T. Weise Sachin Kajareker 38 11 0 15 May 2019
Nonlinear Semi-Parametric Models for Survival Analysis Chirag Nagpal R. Sangave Amit Chahar Parth Shah A. Dubrawski Bhiksha Raj 14 8 0 14 May 2019
Analyzing Adversarial Attacks Against Deep Learning for Intrusion Detection in IoT Networks Olakunle Ibitoye Omair Shafiq Ashraf Matrawy 14 162 0 13 May 2019
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei Tengyu Ma 25 109 0 09 May 2019
Improving Discrete Latent Representations With Differentiable Approximation Bridges Jason Ramapuram Russ Webb DRL 19 9 0 09 May 2019
Ensemble of Convolutional Neural Networks Trained with Different Activation Functions Gianluca Maguolo L. Nanni Stefano Ghidoni 20 62 0 07 May 2019
Few-Shot Adaptive Gaze Estimation Seonwook Park Shalini De Mello Pavlo Molchanov Umar Iqbal Otmar Hilliges Jan Kautz 33 193 0 06 May 2019
Improved Classification Rates for Localized SVMs Ingrid Blaschzyk Ingo Steinwart 11 5 0 04 May 2019
Static Activation Function Normalization Pierre Harvey Richemond Yike Guo 8 0 0 03 May 2019
Effectiveness of Self Normalizing Neural Networks for Text Classification Avinash Madasu Anvesh Rao Vijjini 17 7 0 03 May 2019
Continuous Learning for Large-scale Personalized Domain Classification Han Li Jihwan Lee Sidharth Mudgal R. Sarikaya Young-Bum Kim CLL 14 8 0 02 May 2019
Sequence to sequence deep learning models for solar irradiation forecasting B. Mukhoty Vikas Maurya S. Shukla 9 27 0 30 Apr 2019
MinCall - MinION end2end convolutional deep learning basecaller N. Miculinic Marko Ratkovic M. Šikić 11 11 0 22 Apr 2019
Detecting the Unexpected via Image Resynthesis Krzysztof Lis K. K. Nakka Pascal Fua Mathieu Salzmann UQCV 6 175 0 16 Apr 2019
Iterative Normalization: Beyond Standardization towards Efficient Whitening Lei Huang Yi Zhou Fan Zhu Li Liu Ling Shao 26 140 0 06 Apr 2019
Regularizing Activation Distribution for Training Binarized Deep Networks Ruizhou Ding Ting-Wu Chin Z. Liu Diana Marculescu MQ 14 145 0 04 Apr 2019
A Sober Look at Neural Network Initializations Ingo Steinwart 11 9 0 27 Mar 2019
SleepNet: Automated Sleep Analysis via Dense Convolutional Neural Network Using Physiological Time Series B. Pourbabaee Matthew Howe-Patterson Matthew R. Patterson F. Bénard MLAU 18 0 0 11 Mar 2019
Likelihood-free MCMC with Amortized Approximate Ratio Estimators Joeri Hermans Volodimir Begy Gilles Louppe 32 20 0 10 Mar 2019
Interpretable Deep Learning in Drug Discovery Kristina Preuer G. Klambauer F. Rippmann Sepp Hochreiter Thomas Unterthiner 19 88 0 07 Mar 2019
Copying Machine Learning Classifiers Irene Unceta Jordi Nin O. Pujol 14 18 0 05 Mar 2019
On measuring the iconicity of a face Prithviraj Dhar Carlos D. Castillo Rama Chellappa CVBM 25 10 0 04 Mar 2019
LipschitzLR: Using theoretically computed adaptive learning rates for fast convergence Rahul Yedida Snehanshu Saha Tejas Prashanth ODL 25 12 0 20 Feb 2019
On the Impact of the Activation Function on Deep Neural Networks Training Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 11 195 0 19 Feb 2019
Fake News Detection on Social Media using Geometric Deep Learning Federico Monti Fabrizio Frasca D. Eynard Damon Mannion M. Bronstein GNN 11 453 0 10 Feb 2019
A simple and efficient architecture for trainable activation functions Andrea Apicella Francesco Isgrò R. Prevete 6 36 0 08 Feb 2019
Artificial Intelligence for Prosthetics - challenge solutions L. Kidzinski Carmichael F. Ong Sharada Mohanty Jennifer Hicks Sean F. Carroll ... E. Tumer J. Watson M. Salathé Sergey Levine Scott L. Delp 15 40 0 07 Feb 2019
Attention in Natural Language Processing Andrea Galassi Marco Lippi Paolo Torroni GNN 36 469 0 04 Feb 2019
On Correlation of Features Extracted by Deep Neural Networks B. Ayinde T. Inanc J. Zurada 16 25 0 30 Jan 2019
Learning Context-Dependent Choice Functions Karlson Pfannschmidt Pritha Gupta Björn Haddenhorst Eyke Hüllermeier 21 6 0 29 Jan 2019
Activation Adaptation in Neural Networks Farnoush Farhadi V. Nia Andrea Lodi AI4CE 13 14 0 28 Jan 2019