LocalDrop: A Hybrid Regularization for Deep Neural Networks

LocalDrop: A Hybrid Regularization for Deep Neural Networks

1 March 2021

Bo Du

Masashi Sugiyama

Papers citing "LocalDrop: A Hybrid Regularization for Deep Neural Networks"

6 / 6 papers shown

Title
A Survey on Dropout Methods and Experimental Verification in Recommendation Y. Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks C. F. G. Santos Mateus Roder L. A. Passos João Paulo Papa 27 1 0 05 Mar 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 22 211 0 10 Jan 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015
Norm-Based Capacity Control in Neural Networks Behnam Neyshabur Ryota Tomioka Nathan Srebro 119 577 0 27 Feb 2015
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012