Guiding Neural Network Initialization via Marginal Likelihood Maximization

17 December 2020

Papers citing "Guiding Neural Network Initialization via Marginal Likelihood Maximization"

7 / 7 papers shown

Title
On the Impact of the Activation Function on Deep Neural Networks Training Soufiane Hayou Arnaud Doucet Judith Rousseau ODL 63 200 0 19 Feb 2019
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 118 1,093 0 01 Nov 2017
Convolutional Gaussian Processes Mark van der Wilk C. Rasmussen J. Hensman BDL 64 132 0 06 Sep 2017
Deep Information Propagation S. Schoenholz Justin Gilmer Surya Ganguli Jascha Narain Sohl-Dickstein 79 367 0 04 Nov 2016
All you need is a good init Dmytro Mishkin Jirí Matas ODL 84 610 0 19 Nov 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 243 885 0 06 Nov 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 323 18,613 0 06 Feb 2015