Screening Native ML Pipelines with “ArgusEyes”
Summary: ArgusEyes: system-level screening for native ML pipelines that detects data-dependent and ecosystem-induced implementation faults by observing input-driven behavior and library/runtime interactions. Provides data scientists with fundamental support to catch correctness, robustness, and deployment regressions early. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Sebastian Schelter
- 2. Stefan Grafberger
- 3. Shubha Guha
- 4. Olivier Sprangers
- 5. Bojan Karlaš
- 6. Ce Zhang
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,119 | mlwhatif: What If You Could Stop Re-Implementing Your Machine Learning Pipeline Analyses Over and Over? | 2023 | VLDB | 4.5779426e-05 |
| 8,183 | SHiFT: An Efficient, Flexible Search Engine for Transfer Learning | 2023 | VLDB | 4.5615358e-05 |
| 8,253 | Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines | 2023 | SIGMOD | 4.5444167e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,406 | Responsible Data Management | 2020 | VLDB | 0.0001216385 |
| 5,444 | "Amnesia" - A Selection of Machine Learning Models That Can Forget User Data Very Fast | 2020 | CIDR | 5.4998709e-05 |
| 6,290 | Lightweight Inspection of Data Preprocessing in Native Machine Learning Pipelines | 2021 | CIDR | 5.1220786e-05 |
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