Active learning on anchorgraph with an improved transductive experimental design
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文摘

We empirically show anchors preserve the backbone of the implicit data manifold.

We propose the ATED method that efficiently selects unlabeled data for human labeling.

Our method achieves much less temporal costs with good accuracies.

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