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News/Energy-Based Open-Set Active Learning for Object Classification
arxiv
PublishedApril 24, 2026 at 4:00 AM
▲bullish

Energy-Based Open-Set Active Learning for Object Classification

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2604.20083v1 Announce Type: new Abstract: Active learning (AL) has emerged as a crucial methodology for minimizing labeling costs in deep learning by selecting the most valuable samples from a pool of unlabeled data for annotation. Traditional AL operates under a closed-set assumption, where a

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Mentioned models
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  • 01
    energy-based known/unknown separator
  • 02
    energy-based sample scorer
Source
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arxiv
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Tags
04
#active-learning#open-set#classification#efficiency

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Mentioned models
02
  • 01
    energy-based known/unknown separator
  • 02
    energy-based sample scorer
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#active-learning#open-set#classification#efficiency

Related coverage

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arxivVeriEvolve: Evaluator-First Evolution for Tool-Using Agents1darxivTNODEV: Toolbox for Neural ODE Verification1darxivLearning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding1d
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