most citedPareto Optimization for Active Learning under Out-of-Distribution Data Scenarios

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

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

Xueying Zhan, Zeyu Dai, Qingzhong Wang +4

Pool-based Active Learning (AL) has achieved great success in minimizing labeling cost by sequentially selecting informative unlabeled samples from a large unlabeled data pool and…