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)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 82 | Answering Queries Using Views (Extended Abstract) | 1995 | PODS | 0.00054402763 |
| 316 | NoScope: Optimizing Neural Network Queries over Video at Scale | 2017 | VLDB | 0.00027988668 |
| 449 | Approximate Query Processing: Taming the TeraBytes! A Tutorial | 2001 | VLDB | 0.00022846068 |
| 2,255 | LINVIEW: Incremental View Maintenance for Complex Analytical Queries | 2014 | SIGMOD | 9.1884983e-05 |
| 4,574 | Incremental View Maintenance over Array Data | 2017 | SIGMOD | 6.0738556e-05 |
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