Google AI Research Releases Agile Deliberation Framework for Gray-Area Image Classifiers
The framework helps users define subjective concepts like 'healthy food' by iteratively refining definitions using human feedback on borderline images.
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The framework helps users define subjective concepts like 'healthy food' by iteratively refining definitions using human feedback on borderline images.
The score-based method reports high success at 1–2% area with low query counts and shorter wall-clock time than matched patch attacks.
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