Comparison of semi-supervised learning algorithms

• Main Author: Teo, Sheng Huai
• Other Authors: Li Boyang
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: https://hdl.handle.net/10356/172003
• Institution: Nanyang Technological University

In this report, we conducted image classification experiments in a semi-supervised setting using three datasets of various sizes and content, CIFAR10, CIFAR100 and EuroSAT, with only 1000 samples labelled and the remaining as unlabelled for training. The performance and training duration of three SS...