Semi-supervised Batch Active Learning via Bilevel Optimization

Zalán Borsos
Zalán Borsos
Marco Tagliasacchi
Marco Tagliasacchi
Cited by: 0|Bibtex|Views5
Other Links: arxiv.org

Abstract:

Active learning is an effective technique for reducing the labeling cost by improving data efficiency. In this work, we propose a novel batch acquisition strategy for active learning in the setting where the model training is performed in a semi-supervised manner. We formulate our approach as a data summarization problem via bilevel opt...More

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