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Hai-Bo Ye

2 accepted papers

2024

Bidirectional Uncertainty-Based Active Learning for Open-Set Annotation

ECCV 2024poster

"Active learning (AL) in open set scenarios presents a novel challenge of identifying the most valuable examples in an unlabeled data pool that comprises data from both known and unknown classes. Traditional methods prioritize selecting informative examples with low confidence, with the risk of mist…

2021

Asynchronous Active Learning with Distributed Label Querying

IJCAI 2021poster

Active learning tries to learn an effective model with lowest labeling cost. Most existing active learning methods work in a synchronous way, which implies that the label querying can be performed only after the model updating in each iteration. While training models is usually time-consuming, it ma…

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