Xueying Zhan | DeepAI

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∙ 07/04/2022

Pareto Optimization for Active Learning under Out-of-Distribution Data Scenarios

Pool-based Active Learning (AL) has achieved great success in minimizing...

0 Xueying Zhan, et al. ∙

∙ 05/26/2022

Deep Active Learning with Noise Stability

Uncertainty estimation for unlabeled data is crucial to active learning....

0 Xingjian Li, et al. ∙

∙ 03/25/2022

A Comparative Survey of Deep Active Learning

Active Learning (AL) is a set of techniques for reducing labeling cost b...

0 Xueying Zhan, et al. ∙

∙ 07/04/2021

Multiple-criteria Based Active Learning with Fixed-size Determinantal Point Processes

Active learning aims to achieve greater accuracy with less training data...

0 Xueying Zhan, et al. ∙

∙ 10/16/2020

ALdataset: a benchmark for pool-based active learning

Active learning (AL) is a subfield of machine learning (ML) in which a l...

0 Xueying Zhan, et al. ∙

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