WeShap: Weak Supervision Source Evaluation with Shapley Values
Summary: WeShap: a Shapley-value metric quantifying each weak supervision source's average contribution in a proxy PWS pipeline. Efficient quadratic-time DP for exact computation; empirically generalizes across PWS variants and guides pipeline edits that boost downstream accuracy by ≈5 points. (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. Naiqing Guan
- 2. Nick Koudas
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 204 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025523636 |
| 1,080 | Snuba: Automating Weak Supervision to Label Training Data | 2019 | VLDB | 0.0001239664 |
| 1,124 | Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | 2019 | VLDB | 0.00012165727 |
| 5,003 | Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale | 2019 | SIGMOD | 6.4732621e-05 |
| 7,207 | Witan: Unsupervised Labelling Function Generation for Assisted Data Programming | 2022 | VLDB | 5.7309223e-05 |
| 8,397 | Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming | 2022 | VLDB | 5.4958075e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,102 | Scalable GNN Explanations with Distributed Shapley Values | 2026 | VLDB | - |
| 2,512 | Computing the Shapley Value of Facts in Query Answering | 2022 | SIGMOD | 8.5541566e-05 |
| 9,624 | Shapley Revisited: Tractable Responsibility Measures for Query Answers | 2025 | PODS | 5.3018378e-05 |
| 1,124 | Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms | 2019 | VLDB | 0.00012165727 |
| 13,133 | ShaRP: Explaining Rankings and Preferences with Shapley Values | 2025 | VLDB | - |
| 8,397 | Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming | 2022 | VLDB | 5.4958075e-05 |
| 10,533 | Understanding the Black Box: A Deep Empirical Dive into Shapley Value Approximations for Tabular Data | 2025 | SIGMOD | 5.1725247e-05 |
| 10,663 | A Comprehensive Study of Shapley Value in Data Analytics | 2025 | VLDB | 5.1725247e-05 |
| 13,124 | ShapX Engine: A Demonstration of Shapley Value Approximations | 2025 | SIGMOD | - |
| 8,116 | P-Shapley: Shapley Values on Probabilistic Classifiers | 2024 | VLDB | 5.5419908e-05 |