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Complaint-driven Training Data Debugging for Query 2.0

Summary: Rain is a complaint-driven debugger for training data in Query 2.0, letting users lodge complaints on outputs to prune minimal training-set fixes. Two influence-function-based heuristics enable linear retraining, achieving high recall@k and interactive performance on real-world datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5973
Venue
SIGMOD
Year
2020
Pagerank
8.3783546e-05
Overall Rank
2,584 | 82.28%
DOI
10.1145/3318464.3389696

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_sigmod20,
        title = {{Complaint-driven Training Data Debugging for Query 2.0}},
        author = {Wu, Weiyuan and Flokas, Lampros and Wu, Eugene and Wang, Jiannan},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3389696},
        url = {https://dl.acm.org/doi/10.1145/3318464.3389696},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 15 of 15 citing papers.

Rank Citing Paper Year Venue Pagerank
1,951 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.4252389e-05
3,272 VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition 2021 VLDB 7.5775321e-05
4,876 XInsight: eXplainable Data Analysis Through The Lens of Causality 2023 SIGMOD 6.4687705e-05
5,054 Explainable AI: Foundations, Applications, Opportunities for Data Management Research 2022 SIGMOD 6.3843089e-05
5,131 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.3537809e-05
6,884 Explaining Inference Queries with Bayesian Optimization 2021 VLDB 5.7465524e-05
7,068 DataPrism: Exposing Disconnect between Data and Systems 2022 SIGMOD 5.7119157e-05
7,977 Interactive Query Explanations Using Fine Grained Provenance 2022 SIGMOD 5.5152578e-05
8,244 SHiFT: An Efficient, Flexible Search Engine for Transfer Learning 2023 VLDB 5.4587712e-05
8,859 Complaint-Driven Training Data Debugging at Interactive Speeds 2022 SIGMOD 5.356561e-05
9,290 Hyper-Tune: Towards Efficient Hyper-parameter Tuning at Scale 2022 VLDB 5.2910774e-05
10,317 Guardrail: Automated Integrity Constraint Synthesis From Noisy Data 2026 SIGMOD 5.093636e-05
11,211 MisDetect: Iterative Mislabel Detection using Early Loss 2024 VLDB 5.093636e-05
11,219 MetaStore: Analyzing Deep Learning Meta-Data at Scale 2024 VLDB 5.093636e-05
11,629 Ease.ML: A Lifecycle Management System for MLDev and MLOps 2021 CIDR 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 36 of 36 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
17 Provenance Semirings 2007 PODS 0.00059843817
50 Efficient Query Evaluation on Probabilistic Databases 2004 VLDB 0.00043596705
106 The MADlib Analytics Library or MAD Skills, the SQL 2012 VLDB 0.00033539462
112 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00032801121
191 Scorpion: Explaining Away Outliers in Aggregate Queries 2013 VLDB 0.00026096009
295 Accelerating Machine Learning Inference with Probabilistic Predicates 2018 SIGMOD 0.00022238183
385 Why Not? 2009 SIGMOD 0.00019455743
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
529 Magellan: Toward Building Entity Matching Management Systems 2016 VLDB 0.00017096361
532 MLbase: A Distributed Machine-learning System 2013 CIDR 0.00017072641
582 ActiveClean: Interactive Data Cleaning For Statistical Modeling 2016 VLDB 0.00016148948
663 A Formal Approach to Finding Explanations for Database Queries 2014 SIGMOD 0.00015174751
806 Provenance for Aggregate Queries 2011 PODS 0.00013890398
856 How to ConQueR Why-Not Questions 2010 SIGMOD 0.00013573466
863 Interventional Fairness : Causal Database Repair for Algorithmic Fairness 2019 SIGMOD 0.00013531835
946 HoloDetect: Few-Shot Learning for Error Detection 2019 SIGMOD 0.00013054126
1,096 Tiresias: The Database Oracle for How-To Queries 2012 SIGMOD 0.00012189583
1,147 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011974846
1,351 Detecting Data Errors: Where are we and what needs to be done? 2016 VLDB 0.00011064851
1,594 Sensitivity Analysis and Explanations for Robust Query Evaluation in Probabilistic Databases 2011 SIGMOD 0.00010252583
1,943 Causality and Explanations in Databases 2014 VLDB 9.440636e-05
2,161 DIFF: A Relational Interface for Large-Scale Data Explanation 2019 VLDB 9.0606664e-05
2,195 Explaining Query Answers with Explanation-Ready Databases 2016 VLDB 8.9713779e-05
2,297 Raha: A Configuration-Free Error Detection System 2019 SIGMOD 8.7897221e-05
2,370 Declarative Recursive Computation on an RDBMS or, Why You Should Use a Database For Distributed Machine Learning 2019 VLDB 8.6795925e-05
2,759 Data X-Ray: A Diagnostic Tool for Data Errors 2015 SIGMOD 8.1577506e-05
2,914 Reverse Data Management 2011 VLDB 7.9667467e-05
3,281 Cleaning Crowdsourced Labels Using Oracles for Statistical Classification 2019 VLDB 7.5706653e-05
3,300 Reverse Engineering Aggregation Queries 2017 VLDB 7.5412976e-05
3,614 Cloudy with High Chance of DBMS: A 10-year Prediction for Enterprise-Grade ML 2020 CIDR 7.2568185e-05
3,701 Snorkel: Fast Training Set Generation for Information Extraction 2017 SIGMOD 7.185321e-05
3,947 Overton: A Data System for Monitoring and Improving Machine-Learned Products 2020 CIDR 7.0040437e-05
4,959 QFix: Diagnosing Errors through Query Histories 2017 SIGMOD 6.4283324e-05
6,427 DeepBase: Deep Inspection of Neural Networks 2019 SIGMOD 5.8808145e-05
7,122 HypDB: A Demonstration of Detecting, Explaining and Resolving Bias in OLAP queries 2018 VLDB 5.6968152e-05
7,697 Subjective Databases 2019 VLDB 5.5659533e-05
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