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cs.LG2025
Budgeted Online Active Learning with Expert Advice and Episodic Priors
Kristen Goebel, William Solow, Paola Pesantez-Cabrera +2
This paper introduces a novel approach to budgeted online active learning from finite-horizon data streams with extremely limited labeling budgets. In agricultural applications, su…
cs.LG2025
Transfer Learning via Auxiliary Labels with Application to Cold-Hardiness Prediction
Kristen Goebel, Paola Pesantez-Cabrera, Markus Keller +1
Cold temperatures can cause significant frost damage to fruit crops depending on their resilience, or cold hardiness, which changes throughout the dormancy season. This has led to…