Papers Semi-Supervised Image Classification (Cold Start)

Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

Given an unlabeled dataset and an annotation budget, we study how to selectively label a fixed number of instances so that semi-supervised learning (SSL) on such a partially labeled dataset is most effective. We focus on…