POEM: Pattern-Oriented Explanations of CNN Models

Summary: POEM outputs pattern-oriented explanations for CNNs by mapping image features to semantic concepts (e.g., 'if bed then bedroom'). Its modular design enables governance, model auditing, and detection of training-data errors within ML pipelines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12846
Venue: VLDB
Year: 2022
Pagerank: -
Overall Rank: 13,221 | 8.03%
DOI: 10.14778/3554821.3554858

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Rank	Citing Paper	Year	Venue	Pagerank
6,903	POEM: Pattern-Oriented Explanations of Convolutional Neural Networks	2023	VLDB	4.8925595e-05

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