More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data

20 April 2021

Papers citing "More Than Meets The Eye: Semi-supervised Learning Under Non-IID Data"

4 / 4 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 10 14 0 24 Jul 2021
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images Saul Calderon-Ramirez Shengxiang-Yang Armaghan Moemeni David Elizondo Simon Colreavy-Donnelly Luis Fernando Chavarria-Estrada Miguel A. Molina-Cabello 13 43 0 19 Aug 2020
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 191 1,019 0 26 Mar 2018