Active Learning

Active Learning

TESSAR: Geometry-Aware Active Regression via Dynamic Voronoi Tessellation

Active learning improves training efficiency by selectively querying the most informative samples for labeling. While it naturally fits classification tasks–where informative …

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Querying Easily Flip-flopped Samples for Deep Active Learning featured image
Active Learning

Querying Easily Flip-flopped Samples for Deep Active Learning

Proposes a new active learning approach by proposing a new uncertainty measure called the least disagree metric, as well as its efficient estimator, which is proven to be …

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