Two budget-aware batch active learning heuristics, greedy and dynamic thresholding, reduce the number of labeling rounds needed to reach target accuracy on new building image datasets compared with random selection.
Bayesian neural networks and density networks
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ConBatch-BAL: Batch Bayesian Active Learning under Budget Constraints
Two budget-aware batch active learning heuristics, greedy and dynamic thresholding, reduce the number of labeling rounds needed to reach target accuracy on new building image datasets compared with random selection.