A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs

3 November 2021

Papers citing "A Johnson--Lindenstrauss Framework for Randomly Initialized CNNs"

2 / 2 papers shown

Title
Deep Networks and the Multiple Manifold Problem Sam Buchanan D. Gilboa John N. Wright 166 39 0 25 Aug 2020
Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks Lechao Xiao Yasaman Bahri Jascha Narain Sohl-Dickstein S. Schoenholz Jeffrey Pennington 220 347 0 14 Jun 2018