The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth

27 April 2024

Papers citing "The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' Depth"

8 / 8 papers shown

Title
LaCoOT: Layer Collapse through Optimal Transport Victor Quétu Nour Hezbri Enzo Tartaglione 23 0 0 13 Jun 2024
Progress Measures for Grokking on Real-world Tasks Satvik Golechha 24 1 0 21 May 2024
DSD $^2$ : Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free? Victor Quétu Enzo Tartaglione 22 7 0 02 Mar 2023
CMT: Convolutional Neural Networks Meet Vision Transformers Jianyuan Guo Kai Han Han Wu Yehui Tang Chunjing Xu Yunhe Wang Chang Xu ViT 337 629 0 13 Jul 2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks Enzo Tartaglione Andrea Bragagnolo Francesco Odierna A. Fiandrotti Marco Grangetto 24 18 0 07 Feb 2021
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 178 1,027 0 06 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,319 0 05 Nov 2016