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It is found that starting performance and subsequent growth are associated with different capabilities: within a task category, similar early scores can precede different later gains, and a continuation policy to save time and compute with limited score loss is derived.
This work introduces a novel framework, Gaussian Bridge Consistency (GBC), to address challenges of semi-supervised learning by constructing semantic interpolation paths between unlabeled samples and high-quality class anchors, and proposes BridgeMix, a confidence-aware feature mixing strategy that interpolates both sa...
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