36 citations · 63 across the 12 of their papers we have counts for
4 papers · 1 filter
Dirichlet Active Learning
Kevin Miller, Ryan Murray
This work introduces Dirichlet Active Learning (DiAL), a Bayesian-inspired approach to the design of active learning algorithms. Our framework models feature-conditional class prob…
Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets
James Chapman, Bohan Chen, Zheng Tan +3
Active learning improves the performance of machine learning methods by judiciously selecting a limited number of unlabeled data points to query for labels, with the aim of maximal…
Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering
Yijun Dong, Kevin Miller, Qi Lei +1
Despite the empirical success and practical significance of (relational) knowledge distillation that matches (the relations of) features between teacher and student models, the cor…
Graph-based Active Learning for Surface Water and Sediment Detection in Multispectral Images
Bohan Chen, Kevin Miller, Andrea L. Bertozzi +1
We develop a graph active learning pipeline (GAP) to detect surface water and in-river sediment pixels in satellite images. The active learning approach is applied within the train…