Learning from Randomly Initialized Neural Network Features

13 February 2022

Papers citing "Learning from Randomly Initialized Neural Network Features"

3 / 3 papers shown

Title
Constructing Organism Networks from Collaborative Self-Replicators Steffen Illium Maximilian Zorn Cristian Lenta Michael Kolle Claudia Linnhoff-Popien Thomas Gabor 19 0 0 20 Dec 2022
Demystifying Randomly Initialized Networks for Evaluating Generative Models Junghyuk Lee Jun-Hyuk Kim Jong-Seok Lee EGVM 27 0 0 19 Aug 2022
Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping James Martens Andy Ballard Guillaume Desjardins G. Swirszcz Valentin Dalibard Jascha Narain Sohl-Dickstein S. Schoenholz 88 43 0 05 Oct 2021