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Selective Data Acquisition in the Wild for Model Charging
Summary: AutoData enables end-to-end selective labeled-data acquisition from heterogeneous real-world sources for model charging. It first discovers relevant datasets; then cross-source data are clustered, and a bandit/DRL-driven sampler iteratively selects clusters, samples points, and updates rewards to optimize utility.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12654
- Venue
- VLDB
- Year
- 2022
- Pagerank
- 5.5346315e-05
- Overall Rank
- 5,386 | 62.57%
- DOI
-
10.14778/3523210.3523223
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
| Rank |
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Year |
Venue |
Pagerank |
| 3,729 |
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6.8078013e-05 |
| 3,973 |
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| 4,103 |
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data |
2023 |
SIGMOD |
6.4460899e-05 |
| 5,289 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5790771e-05 |
| 7,180 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8032775e-05 |
| 7,586 |
LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes |
2024 |
VLDB |
4.700127e-05 |
| 8,121 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
2024 |
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4.5771143e-05 |
| 8,263 |
Learned Data-aware Image Representations of Line Charts for Similarity Search |
2023 |
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4.5414364e-05 |
| 8,276 |
Optimizing Data Acquisition to Enhance Machine Learning Performance |
2024 |
VLDB |
4.5392079e-05 |
| 9,373 |
Falcon: Fair Active Learning using Multi-armed Bandits |
2024 |
VLDB |
4.3460825e-05 |
| 9,928 |
Fainder: A Fast and Accurate Index for Distribution-Aware Dataset Search |
2024 |
VLDB |
4.2470891e-05 |
| 10,100 |
AixelNet: A Pre-trained Model with Table-aware Adaptation for Structured Data Prediction |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,301 |
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning |
2026 |
VLDB |
4.1905499e-05 |
| 10,475 |
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,481 |
Approximating Opaque Top-k Queries |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,958 |
Data Acquisition for Improving Model Confidence |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,003 |
MisDetect: Iterative Mislabel Detection using Early Loss |
2024 |
VLDB |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 252 |
Snorkel: Rapid Training Data Creation with Weak Supervision |
2018 |
VLDB |
0.00030532082 |
| 1,179 |
Table Union Search on Open Data |
2018 |
VLDB |
0.00013458551 |
| 1,462 |
ARDA: Automatic Relational Data Augmentation for Machine Learning |
2020 |
VLDB |
0.00011866333 |
| 3,360 |
Organizing Data Lakes for Navigation |
2020 |
SIGMOD |
7.1719486e-05 |
| 3,754 |
Data Acquisition for Improving Machine Learning Models |
2021 |
VLDB |
6.7830341e-05 |
| 4,746 |
Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models |
2021 |
SIGMOD |
5.9446518e-05 |
| 4,829 |
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks |
2021 |
SIGMOD |
5.8890126e-05 |
| 5,254 |
CDB: A Crowd-Powered Database System |
2018 |
VLDB |
5.5991922e-05 |
| 5,369 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5436995e-05 |
| 5,965 |
Automatic Data Acquisition for Deep Learning |
2021 |
VLDB |
5.2476363e-05 |
| 6,462 |
Tailoring Data Source Distributions for Fairness-aware Data Integration |
2021 |
VLDB |
5.0479645e-05 |
| 7,580 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7023767e-05 |
| 11,586 |
Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries |
2020 |
SIGMOD |
4.1905499e-05 |
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