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Kevin Miller

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Dirichlet Active Learning

Nov 09, 2023
Kevin Miller, Ryan Murray

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Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering

Jul 20, 2023
Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward

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Novel Batch Active Learning Approach and Its Application to Synthetic Aperture Radar Datasets

Jul 19, 2023
James Chapman, Bohan Chen, Zheng Tan, Jeff Calder, Kevin Miller, Andrea L. Bertozzi

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Graph-based Active Learning for Surface Water and Sediment Detection in Multispectral Images

Jun 17, 2023
Bohan Chen, Kevin Miller, Andrea L. Bertozzi, Jon Schwenk

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Poisson Reweighted Laplacian Uncertainty Sampling for Graph-based Active Learning

Oct 27, 2022
Kevin Miller, Jeff Calder

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Graph-based Active Learning for Semi-supervised Classification of SAR Data

Mar 31, 2022
Kevin Miller, John Mauro, Jason Setiadi, Xoaquin Baca, Zhan Shi, Jeff Calder, Andrea L. Bertozzi

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Efficient and Reliable Overlay Networks for Decentralized Federated Learning

Dec 12, 2021
Yifan Hua, Kevin Miller, Andrea L. Bertozzi, Chen Qian, Bao Wang

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Model-Change Active Learning in Graph-Based Semi-Supervised Learning

Oct 14, 2021
Kevin Miller, Andrea L. Bertozzi

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Posterior Consistency of Semi-Supervised Regression on Graphs

Jul 25, 2020
Andrea L. Bertozzi, Bamdad Hosseini, Hao Li, Kevin Miller, Andrew M. Stuart

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Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations

Jul 21, 2020
Kevin Miller, Hao Li, Andrea L. Bertozzi

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