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In active learning, acquisition functions define informativeness directly on the representation position within the model manifold. However, for most machine learning models (in particular neural networks) this representation is not fixed due to the
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5146eb100a59cb644df00dba36598d1