Self-Normalizing Neural Networks

Self-Normalizing Neural Networks

8 June 2017

Thomas Unterthiner

Sepp Hochreiter

Papers citing "Self-Normalizing Neural Networks"

16 / 866 papers shown

Title
Searching for Activation Functions Prajit Ramachandran Barret Zoph Quoc V. Le 16 599 0 16 Oct 2017
Convolutional neural networks for structured omics: OmicsCNN and the OmicsConv layer Giuseppe Jurman V. Maggio Diego Fioravanti Ylenia Giarratano Isotta Landi Margherita Francescatto Claudio Agostinelli M. Chierici Manlio De Domenico Cesare Furlanello 18 8 0 16 Oct 2017
Automated Cloud Provisioning on AWS using Deep Reinforcement Learning Zhiguang Wang C. Gwon Tim Oates A. Iezzi 19 23 0 13 Sep 2017
Phylogenetic Convolutional Neural Networks in Metagenomics Diego Fioravanti Ylenia Giarratano V. Maggio Claudio Agostinelli M. Chierici Giuseppe Jurman Cesare Furlanello 8 89 0 06 Sep 2017
Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible to Various Temporal Codes Chaofei Hong 11 0 0 02 Sep 2017
Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields Thomas Unterthiner Bernhard Nessler Calvin Seward G. Klambauer M. Heusel Hubert Ramsauer Sepp Hochreiter GAN 28 74 0 29 Aug 2017
Automatic detection and decoding of honey bee waggle dances Fernando Wario Benjamin Wild R. Rojas Tim Landgraf 15 39 0 22 Aug 2017
Multi-Generator Generative Adversarial Nets Q. Hoang T. Nguyen Trung Le Dinh Q. Phung GAN 17 65 0 08 Aug 2017
Training Deep AutoEncoders for Collaborative Filtering Oleksii Kuchaiev Boris Ginsburg 19 80 0 05 Aug 2017
Kafnets: kernel-based non-parametric activation functions for neural networks Simone Scardapane S. Van Vaerenbergh Simone Totaro A. Uncini 14 12 0 13 Jul 2017
FReLU: Flexible Rectified Linear Units for Improving Convolutional Neural Networks Suo Qiu Xiangmin Xu Bolun Cai 11 12 0 25 Jun 2017
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
McKernel: A Library for Approximate Kernel Expansions in Log-linear Time J. Curtò I. Zarza Feng Yang Alex Smola Fernando De la Torre Chong Wah Ngo Luc van Gool 9 3 0 27 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 104 1,502 0 25 Jan 2017
Representation Learning with Deconvolution for Multivariate Time Series Classification and Visualization Zhiguang Wang Wei Song Lu Liu Fan Zhang Junxiao Xue Yangdong Ye Ming Fan Mingliang Xu AI4TS FAtt 38 23 0 24 Oct 2016
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 106 1,231 0 02 Jun 2016