Disentangling feature and lazy training in deep neural networks

19 June 2019

Papers citing "Disentangling feature and lazy training in deep neural networks"

6 / 6 papers shown

Title
Asymptotics of Wide Networks from Feynman Diagrams Ethan Dyer Guy Gur-Ari 53 114 0 25 Sep 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation Greg Yang 115 286 0 13 Feb 2019
A Tail-Index Analysis of Stochastic Gradient Noise in Deep Neural Networks Umut Simsekli Levent Sagun Mert Gurbuzbalaban 79 247 0 18 Jan 2019
A Modern Take on the Bias-Variance Tradeoff in Neural Networks Brady Neal Sarthak Mittal A. Baratin Vinayak Tantia Matthew Scicluna Simon Lacoste-Julien Ioannis Mitliagkas 80 169 0 19 Oct 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 226 8,856 0 25 Aug 2017
Geometry of Optimization and Implicit Regularization in Deep Learning Behnam Neyshabur Ryota Tomioka Ruslan Salakhutdinov Nathan Srebro AI4CE 52 133 0 08 May 2017