Hard Cases, Bad Labels: Testing error exposure and error location in uncertainty sampling under bounded label noise
Read the original at arxiv.org→arXiv:2608.13601v1 Announce Type: new Abstract: Active learning can reduce labeling cost by selecting informative examples, but the most uncertain examples may also be the hardest to label correctly. This study...
Original headline: "Hard Cases, Bad Labels: Testing Error Exposure and Error Location in Uncertainty Sampling Under Bounded Label Noise"
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- Aug 17, 04:00 UTC arXiv cs.LG lead source Hard Cases, Bad Labels: Testing Error Exposure and Error Location in Uncertainty Sampling Under Bounded Label Noise