Are Data-Driven Explanations Robust Against Out-of-Distribution Data?

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 11× · AI/ML
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Are Data-Driven Explanations Robust Against Out-of-Distribution Data?

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Are Data-Driven Explanations Robust Against Out-of-Distribution Data? is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Are Data-Driven Explanations Robust Against Out-of-Distribution Data?. Retrieved May 24, 2026, from https://4ort.xyz/entity/are-data-driven-explanations-robust-against-out-of-distribution-data
MLA “Are Data-Driven Explanations Robust Against Out-of-Distribution Data?.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/are-data-driven-explanations-robust-against-out-of-distribution-data.
BibTeX @misc{4ortxyz_are-data-driven-explanations-robust-against-out-of-distribution-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Are Data-Driven Explanations Robust Against Out-of-Distribution Data?}}, year = {2026}, url = {https://4ort.xyz/entity/are-data-driven-explanations-robust-against-out-of-distribution-data}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Are Data-Driven Explanations Robust Against Out-of-Distribution Data? — https://4ort.xyz/entity/are-data-driven-explanations-robust-against-out-of-distribution-data (retrieved 2026-05-24)

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