MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures

14 June 2020

Papers citing "MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures"

3 / 3 papers shown

Title
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities Saul Calderon-Ramirez Shengxiang-Yang David Elizondo Armaghan Moemeni OOD 28 24 0 17 Aug 2021
A Real Use Case of Semi-Supervised Learning for Mammogram Classification in a Local Clinic of Costa Rica Saul Calderon-Ramirez Diego Murillo-Hernandez Kevin Rojas-Salazar David Elizondo Shengxiang-Yang Miguel A. Molina-Cabello 25 14 0 24 Jul 2021
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 208 1,020 0 26 Mar 2018