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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
Developing Synthesis Flows Without Human Knowledge Cunxi Yu Houping Xiao G. Micheli 102 99 0 16 Apr 2018
Building robust prediction models for defective sensor data using Artificial Neural Networks A. Shekar C. S.A. Hugo Ferreira Carlos Soares 109 3 0 16 Apr 2018
Comparison of non-linear activation functions for deep neural networks on MNIST classification task Dabal Pedamonti 130 192 0 08 Apr 2018
Generative Visual Rationales J. Seah Jennifer S. N. Tang Andy Kitchen Jonathan Seah MedIm 67 2 0 04 Apr 2018
DeepMVS: Learning Multi-view Stereopsis Po-Han Huang Kevin Blackburn-Matzen Johannes Kopf Narendra Ahuja Jia-Bin Huang 3DV 223 520 0 02 Apr 2018
Learning to Run challenge solutions: Adapting reinforcement learning methods for neuromusculoskeletal environments L. Kidzinski Sharada Mohanty Carmichael F. Ong Zhewei Huang Shuchang Zhou ... Sean F. Carroll Jennifer Hicks Sergey Levine M. Salathé Scott L. Delp 179 94 0 02 Apr 2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks Alexander Shekhovtsov B. Flach M. Busta 161 5 0 28 Mar 2018
Normalization of Neural Networks using Analytic Variance Propagation Alexander Shekhovtsov B. Flach 129 6 0 28 Mar 2018
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery Kristina Preuer Philipp Renz Thomas Unterthiner Sepp Hochreiter Günter Klambauer MedIm 445 394 0 26 Mar 2018
Online Second Order Methods for Non-Convex Stochastic Optimizations Xi-Lin Li OffRL ODL 102 4 0 26 Mar 2018
Generalized Hadamard-Product Fusion Operators for Visual Question Answering Brendan Duke Graham W. Taylor 103 9 0 26 Mar 2018
Lifting Layers: Analysis and Applications Peter Ochs Tim Meinhardt Laura Leal-Taixe Michael Möller 96 8 0 23 Mar 2018
Deep learning improved by biological activation functions Gardave S. Bhumbra 60 7 0 19 Mar 2018
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR SupervisionInternational Conference on Intelligent Transportation Systems (ITSC), 2018 V. Kumar Stefan Milz Martin Simon Christian Witt Karl Amende Johannes Petzold S. Yogamani Timo Pech MDE 166 50 0 16 Mar 2018
Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion Zhourong Chen Xiaopeng Li Ningyu Zhang 192 2 0 16 Mar 2018
Neural Network QuineIEEE Symposium on Artificial Life (ALIFE), 2018 Oscar Chang Hod Lipson 152 23 0 15 Mar 2018
Deep Architectures for Learning Context-dependent Ranking Functions Karlson Pfannschmidt Pritha Gupta Eyke Hüllermeier 73 11 0 15 Mar 2018
Building Sparse Deep Feedforward Networks using Tree Receptive FieldsInternational Joint Conference on Artificial Intelligence (IJCAI), 2018 Xiaopeng Li Zhourong Chen Ningyu Zhang 113 0 0 14 Mar 2018
Deep Learning in Mobile and Wireless Networking: A SurveyIEEE Communications Surveys and Tutorials (COMST), 2018 Chaoyun Zhang P. Patras Hamed Haddadi 346 1,409 0 12 Mar 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 203 49 0 08 Mar 2018
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images Yuxin Cui Guiying Zhang Zhonghao Liu Zheng Xiong Jianjun Hu 122 123 0 07 Mar 2018
ExpandNet: A Deep Convolutional Neural Network for High Dynamic Range Expansion from Low Dynamic Range Content Demetris Marnerides Thomas Bashford-Rogers Jonathan Hatchett Kurt Debattista 195 277 0 06 Mar 2018
Norm matters: efficient and accurate normalization schemes in deep networks Elad Hoffer Ron Banner Itay Golan Daniel Soudry OffRL 228 185 0 05 Mar 2018
How to Start Training: The Effect of Initialization and Architecture Boris Hanin David Rolnick 256 271 0 05 Mar 2018
Complex-valued Neural Networks with Non-parametric Activation Functions Simone Scardapane S. Van Vaerenbergh Amir Hussain A. Uncini 163 92 0 22 Feb 2018
DVAE++: Discrete Variational Autoencoders with Overlapping Transformations Arash Vahdat W. Macready Zhengbing Bian Amir Khoshaman Evgeny Andriyash 205 79 0 14 Feb 2018
Learning Deep Convolutional Networks for Demosaicing Nai-Sheng Syu Yu-Sheng Chen Yung-Yu Chuang 117 80 0 11 Feb 2018
Small nonlinearities in activation functions create bad local minima in neural networks Chulhee Yun S. Sra Ali Jadbabaie ODL 309 97 0 10 Feb 2018
VIBNN: Hardware Acceleration of Bayesian Neural Networks R. Cai Ao Ren Ning Liu Caiwen Ding Luhao Wang Xuehai Qian Massoud Pedram Yanzhi Wang BDL 188 95 0 02 Feb 2018
Learning Combinations of Activation Functions Franco Manessi A. Rozza AI4CE 166 61 0 29 Jan 2018
E-swish: Adjusting Activations to Different Network Depths Eric Alcaide LLMSV 87 36 0 22 Jan 2018
Deep Chain HDRI: Reconstructing a High Dynamic Range Image from a Single Low Dynamic Range Image Siyeong Lee Gwon Hwan An Suk-ju Kang 3DV 123 113 0 19 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift Xiang Li Shuo Chen Xiaolin Hu Zhiqiang Wang 134 321 0 16 Jan 2018
Which Neural Net Architectures Give Rise To Exploding and Vanishing Gradients? Boris Hanin 239 289 0 11 Jan 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D. Charte F. Charte S. García M. J. D. Jesus Francisco Herrera 174 268 0 04 Jan 2018
Learning to Run with Actor-Critic Ensemble Zhewei Huang Shuchang Zhou BoEr Zhuang Xinyu Zhou OffRL 65 24 0 25 Dec 2017
A Flexible Approach to Automated RNN Architecture GenerationInternational Conference on Learning Representations (ICLR), 2017 Martin Schrimpf Stephen Merity James Bradbury R. Socher 102 16 0 20 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017 Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 513 1,729 0 19 Dec 2017
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 392 735 0 18 Dec 2017
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley 150 94 0 18 Dec 2017
Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network E. Bonmati Yipeng Hu Nikhil Sindhwani H. Dietz Jan D'hooge D. Barratt Jan Deprest Tom Vercauteren 112 33 0 18 Dec 2017
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions George Philipp Basel Alomair J. Carbonell ODL 283 48 0 15 Dec 2017
Pointwise Convolutional Neural Networks Binh-Son Hua Minh-Khoi Tran Sai-Kit Yeung 3DPC 3DV 259 556 0 14 Dec 2017
Over the Air Deep Learning Based Radio Signal Classification Tim O'Shea Tamoghna Roy T. Clancy 128 1,234 0 13 Dec 2017
Solving internal covariate shift in deep learning with linked neurons Carles Roger Riera Molina O. Vila OffRL 99 3 0 07 Dec 2017
SMILES2Vec: An Interpretable General-Purpose Deep Neural Network for Predicting Chemical Properties Garrett B. Goh Nathan Oken Hodas Charles Siegel Abhinav Vishnu 166 155 0 06 Dec 2017
Gaussian Process Neurons Learn Stochastic Activation Functions Sebastian Urban Marcus Basalla Patrick van der Smagt BDL 109 5 0 29 Nov 2017
Predicting Adolescent Suicide Attempts with Neural Networks Harish S. Bhat S. Goldman-Mellor 146 30 0 28 Nov 2017
Application of generative autoencoder in de novo molecular design T. Blaschke Marcus Olivecrona Ola Engkvist J. Bajorath Hongming Chen AI4CE 210 367 0 21 Nov 2017
High-resolution Deep Convolutional Generative Adversarial Networks J. Curtò I. Zarza Fernando de la Torre Irwin King Michael R. Lyu GAN 355 35 0 17 Nov 2017