DropNeuron: Simplifying the Structure of Deep Neural Networks

23 June 2016

Papers citing "DropNeuron: Simplifying the Structure of Deep Neural Networks"

7 / 7 papers shown

Title
On GNN explanability with activation rules Luca Veyrin-Forrer Ataollah Kamal Stefan Duffner Marc Plantevit C. Robardet AI4CE 21 2 0 17 Jun 2024
What to Prune and What Not to Prune at Initialization Maha Haroon 8 0 0 06 Sep 2022
Structured Pruning of Neural Networks with Budget-Aware Regularization Carl Lemaire Andrew Achkar Pierre-Marc Jodoin 14 92 0 23 Nov 2018
MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression Lazar Supic R. Naous Ranko Sredojevic Aleksandra Faust Vladimir M. Stojanović 17 4 0 30 May 2018
Compressing Neural Networks using the Variational Information Bottleneck Bin Dai Chen Zhu David Wipf MLT 20 178 0 28 Feb 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 249 9,134 0 06 Jun 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,633 0 03 Jul 2012