Multiclass Active Learning for Graph-Based Semi-Supervised Learning


Presented poster at Naval Applications of Machine Learning (NAML) Conference on March 24, 2021. Presented my work on scalable and sample-efficient model change active learning for a family of graph-based semi-supervised learning models, with specific application to Hyperspectral Imagery (HSI).

See my poster here.