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Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations

Summary: Occlusion-based CNN explanations reframed as incremental view maintenance; algebraic framework with materialized views and multi-query optimization to reuse computation across inferences. Krypton prototype (CPU/GPU) achieves up to 5× exact and 35× approximate speedups using novel approximate inference techniques that exploit CNN semantics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5687
Venue
SIGMOD
Year
2019
Pagerank
7.9800983e-05
Overall Rank
2,871 | 80.05%
DOI
10.1145/3299869.3319874

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