Generative Feature Training of Thin 2-Layer Networks

11 November 2024

Papers citing "Generative Feature Training of Thin 2-Layer Networks"

10 / 10 papers shown

Title
Fast Summation of Radial Kernels via QMC Slicing Johannes Hertrich Tim Jahn Michael Quellmalz 76 5 0 02 Oct 2024
Sampling weights of deep neural networks Erik Lien Bolager Iryna Burak Chinmay Datar Q. Sun Felix Dietrich BDL UQCV 51 18 0 29 Jun 2023
HARFE: Hard-Ridge Random Feature Expansion Esha Saha Hayden Schaeffer Giang Tran 96 15 0 06 Feb 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions Aaron Mishkin Arda Sahiner Mert Pilanci OffRL 116 30 0 02 Feb 2022
Generalization Error Analysis of Neural networks with Gradient Based Regularization Lingfeng Li X. Tai Jiang Yang 23 4 0 06 Jul 2021
Interpretable Approximation of High-Dimensional Data D. Potts Michael Schmischke 25 17 0 25 Mar 2021
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users Laurent Valentin Jospin Wray Buntine F. Boussaïd Hamid Laga Bennamoun OOD BDL UQCV 82 627 0 14 Jul 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 100 174 0 23 Apr 2020
Neural Networks are Convex Regularizers: Exact Polynomial-time Convex Optimization Formulations for Two-layer Networks Mert Pilanci Tolga Ergen 77 118 0 24 Feb 2020
Greedy Layerwise Learning Can Scale to ImageNet Eugene Belilovsky Michael Eickenberg Edouard Oyallon 112 180 0 29 Dec 2018