The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks

1 June 2018

Papers citing "The Nonlinearity Coefficient - Predicting Generalization in Deep Neural Networks"

4 / 4 papers shown

Title
A Learning Paradigm for Interpretable Gradients Felipe Figueroa Hanwei Zhang R. Sicre Yannis Avrithis Stéphane Ayache FAtt 23 0 0 23 Apr 2024
Tensor Programs III: Neural Matrix Laws Greg Yang 14 43 0 22 Sep 2020
Tensor Programs II: Neural Tangent Kernel for Any Architecture Greg Yang 58 134 0 25 Jun 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 244 349 0 14 Jun 2018