CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties
Summary: CHEF cuts label-cleaning costs under weak supervision by prioritizing influential samples and feeding cleaned labels. It adds Increm-INFL and DeltaGrad-L, incremental selection and model updates, plus compact small-batch iteration enabling early stopping. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yinjun Wu (University of Pennsylvania)
- 2. James Weimer (University of Pennsylvania)
- 3. Susan B. Davidson (University of Pennsylvania)
BibTeX Citation
@article{wu_vldb21,
title = {{CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties}},
author = {Wu, Yinjun and Weimer, James and Davidson, Susan B.},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {11},
pages = {2410--2418},
doi = {10.14778/3476249.3476290},
url = {https://doi.org/10.14778/3476249.3476290},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,648 | MisDetect: Iterative Mislabel Detection using Early Loss | 2024 | VLDB | 5.4772833e-05 |
| 10,530 | Outliers: The Good, the Bad and the Ugly | 2026 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025181304 |
| 483 | ActiveClean: Interactive Data Cleaning For Statistical Modeling | 2016 | VLDB | 0.00017590977 |
| 1,120 | Snuba: Automating Weak Supervision to Label Training Data | 2019 | VLDB | 0.00011946047 |
| 3,307 | Cleaning Crowdsourced Labels Using Oracles for Statistical Classification | 2019 | VLDB | 7.4414303e-05 |
| 4,195 | PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models | 2020 | SIGMOD | 6.7422305e-05 |
| 4,543 | GOGGLES: Automatic Image Labeling with Affinity Coding | 2020 | SIGMOD | 6.5470116e-05 |
| 5,181 | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale | 2019 | SIGMOD | 6.2406557e-05 |
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