Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models
Summary: Selective data acquisition per slice to optimize accuracy and fairness; iterative learning-curve updates. Maintains per-slice learning curves and uses convex optimization to allocate data while handling inter-slice dependencies; validated on real crowdsourced data, outperforming baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ki Hyun Tae (Korea Advanced Institute of Science and Technology)
- 2. Steven Euijong Whang (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@inproceedings{tae_sigmod21,
title = {{Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models}},
author = {Tae, Ki Hyun and Whang, Steven Euijong},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452792},
url = {https://dl.acm.org/doi/10.1145/3448016.3452792},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,808 | Selective Data Acquisition in the Wild for Model Charging | 2022 | VLDB | 6.4991553e-05 |
| 5,051 | Towards Benchmarking Feature Type Inference for AutoML Platforms | 2021 | SIGMOD | 6.385354e-05 |
| 5,510 | Responsible Data Integration: Next-generation Challenges | 2022 | SIGMOD | 6.1919207e-05 |
| 7,232 | Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications | 2023 | SIGMOD | 5.6659017e-05 |
| 8,043 | Falcon: Fair Active Learning using Multi-armed Bandits | 2024 | VLDB | 5.5013766e-05 |
| 10,511 | On Fair Epsilon Net and Geometric Hitting Set | 2026 | VLDB | 5.093636e-05 |
| 10,757 | Data Enhancement for Binary Classification of Relational Data | 2025 | SIGMOD | 5.093636e-05 |
| 10,823 | Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 749 | Data Lake Management: Challenges and Opportunities | 2019 | VLDB | 0.00014379989 |
| 3,600 | The Role of Massively Multi-Task and Weak Supervision in Software 2.0 | 2019 | CIDR | 7.2709969e-05 |
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