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Batch Decorrelation for Active Metric Learning
[article]
2020
arXiv
pre-print
We present an active learning strategy for training parametric models of distance metrics, given triplet-based similarity assessments: object x_i is more similar to object x_j than to x_k. In contrast to prior work on class-based learning, where the fundamental goal is classification and any implicit or explicit metric is binary, we focus on perceptual metrics that express the degree of (dis)similarity between objects. We find that standard active learning approaches degrade when annotations
arXiv:2005.10008v2
fatcat:5dacudmo25didelhmaav2peo3m