Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks

7 February 2019

Papers citing "Ising-Dropout: A Regularization Method for Training and Compression of Deep Neural Networks"

7 / 7 papers shown

Title
MWaste: A Deep Learning Approach to Manage Household Waste S. Kunwar HAI 16 3 0 02 Apr 2023
Frequency Dropout: Feature-Level Regularization via Randomized Filtering Mobarakol Islam Ben Glocker OOD 35 6 0 20 Sep 2022
Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks Mahsa Taheri Fang Xie Johannes Lederer 29 0 0 09 May 2022
A Survey on Dropout Methods and Experimental Verification in Recommendation Yicong Li Weizhi Ma C. L. Philip Chen M. Zhang Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
S-Rocket: Selective Random Convolution Kernels for Time Series Classification Hojjat Salehinejad Yang Wang Yuanhao Yu Jingshan Tang S. Valaee AI4TS 33 15 0 07 Mar 2022
Exploration of Various Deep Learning Models for Increased Accuracy in Automatic Polyp Detection Ariel E. Isidro Arnel C. Fajardo Alexander A. Hernandez MedIm 16 0 0 04 Mar 2022
Survey of Dropout Methods for Deep Neural Networks Alex Labach Hojjat Salehinejad S. Valaee 27 149 0 25 Apr 2019