Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima

30 April 2020

Papers citing "Pruning artificial neural networks: a way to find well-generalizing, high-entropy sharp minima"

7 / 7 papers shown

Title
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 31 0 0 19 Dec 2023
Towards Efficient Capsule Networks Riccardo Renzulli Marco Grangetto OCL 22 4 0 19 Aug 2022
The rise of the lottery heroes: why zero-shot pruning is hard Enzo Tartaglione 21 6 0 24 Feb 2022
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna A. Fiandrotti Marco Grangetto 38 18 0 07 Feb 2021
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks Enzo Tartaglione Andrea Bragagnolo A. Fiandrotti Marco Grangetto ODL UQCV 13 34 0 16 Nov 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 224 382 0 05 Mar 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 281 2,888 0 15 Sep 2016