Reversible Architectures for Arbitrarily Deep Residual Neural Networks

12 September 2017

Papers citing "Reversible Architectures for Arbitrarily Deep Residual Neural Networks"

5 / 55 papers shown

Title
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018
Convolutional Neural Networks combined with Runge-Kutta Methods Mai Zhu Bo Chang Chong Fu AI4CE 41 52 0 24 Feb 2018
Sparsely Aggregated Convolutional Networks Ligeng Zhu Ruizhi Deng Michael Maire Zhiwei Deng Greg Mori P. Tan 3DPC 32 9 0 18 Jan 2018
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions George Philipp D. Song J. Carbonell ODL 35 46 0 15 Dec 2017
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Zhehuai Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 718 6,750 0 26 Sep 2016