Towards a General Theory of Infinite-Width Limits of Neural Classifiers

12 March 2020

Papers citing "Towards a General Theory of Infinite-Width Limits of Neural Classifiers"

4 / 4 papers shown

Title
Infinite-width limit of deep linear neural networks Lénaïc Chizat Maria Colombo Xavier Fernández-Real Alessio Figalli 31 14 0 29 Nov 2022
A Theory for Knowledge Transfer in Continual Learning Diana Benavides-Prado Patricia J. Riddle CLL 34 13 0 14 Aug 2022
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective Geoff Pleiss John P. Cunningham 28 24 0 11 Jun 2021
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 238 348 0 14 Jun 2018