Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting

1 August 2023

Papers citing "Regularization, early-stopping and dreaming: a Hopfield-like setup to address generalization and overfitting"

6 / 6 papers shown

Title
Bayes-optimal limits in structured PCA, and how to reach them Jean Barbier Francesco Camilli Marco Mondelli Manuel Sáenz 46 5 0 03 Oct 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 46 13 0 17 Jan 2022
$On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression$ On the Optimal Weighted $\ell_2$ Regularization in Overparameterized Linear Regression Denny Wu Ji Xu 65 122 0 10 Jun 2020
Shaping the learning landscape in neural networks around wide flat minima Carlo Baldassi Fabrizio Pittorino R. Zecchina MLT 69 83 0 20 May 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 176 743 0 19 Mar 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 260 8,876 0 25 Aug 2017