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)
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Authors
- 1. Vargha Dadvar (University of Waterloo)
- 2. Lukasz Golab (University of Waterloo)
- 3. Divesh Srivastava (AT&T)
BibTeX Citation
@article{dadvar_vldb22,
title = {{POEM: Pattern-Oriented Explanations of CNN Models}},
author = {Dadvar, Vargha and Golab, Lukasz and Srivastava, Divesh},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {12},
pages = {3618--3621},
doi = {10.14778/3554821.3554858},
url = {https://doi.org/10.14778/3554821.3554858},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,508 | POEM: Pattern-Oriented Explanations of Convolutional Neural Networks | 2023 | VLDB | 5.6029996e-05 |
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