Unverified50% confidenceFactExact time
Anchor divergence differs from metric learning in that it does not learn a fixed linear transformation; instead, it allows users to specify semantic context on demand at inference time through a probabilistic model, without needing to maintain a separate distance matrix or retrain an adaptation layer for each context.
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10/7/2026
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