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

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

1 August 2023

Francesco Alemanno

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

9 / 9 papers shown

Title
Bayes-optimal limits in structured PCA, and how to reach them Jean Barbier Francesco Camilli Marco Mondelli Manuel Sáenz 55 5 0 03 Oct 2022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti Luigi Carratino Ernesto De Vito Lorenzo Rosasco 53 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 70 123 0 10 Jun 2020
Neural networks with redundant representation: detecting the undetectable E. Agliari Francesco Alemanno Adriano Barra M. Centonze A. Fachechi 38 31 0 28 Nov 2019
Shaping the learning landscape in neural networks around wide flat minima Carlo Baldassi Fabrizio Pittorino R. Zecchina MLT 71 84 0 20 May 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 197 746 0 19 Mar 2019
Dreaming neural networks: rigorous results E. Agliari Francesco Alemanno Adriano Barra A. Fachechi CLL 48 25 0 21 Dec 2018
Forgetting Memories and their Attractiveness E. Marinari 25 4 0 31 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017

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