Generalizable Data Cleaning of Tabular Data in Latent Space

Summary: Lopster performs both error detection and repair by shifting noisy, incomplete, or outlier rows into a learned clean region of latent space. A unified operator handles unseen error types without external detectors, outperforming prior cleaners with limited error training. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13909
Venue: VLDB
Year: 2024
Pagerank: 5.093636e-05
Overall Rank: 11,343 | 22.18%
DOI: 10.14778/3704965.3704983

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Eduardo Reis (Technical University of Darmstadt)
2. Mohamed Abdelaal (Software AG)
3. Carsten Binnig (German National Research Center for Information Technology; Technical University of Darmstadt)

BibTeX Citation

@article{reis_vldb24,
        title = {{Generalizable Data Cleaning of Tabular Data in Latent Space}},
        author = {Reis, Eduardo and Abdelaal, Mohamed and Binnig, Carsten},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {13},
        pages = {4786--4798},
        doi = {10.14778/3704965.3704983},
        url = {https://doi.org/10.14778/3704965.3704983},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
112	HoloClean: Holistic Data Repairs with Probabilistic Inference	2017	VLDB	0.00032801121
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025235185
397	TURL: Table Understanding through Representation Learning	2021	VLDB	0.00019278189
420	Can Foundation Models Wrangle Your Data?	2023	VLDB	0.00018789852
582	ActiveClean: Interactive Data Cleaning For Statistical Modeling	2016	VLDB	0.00016148948
946	HoloDetect: Few-Shot Learning for Error Detection	2019	SIGMOD	0.00013054126
2,147	Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions	2021	VLDB	9.0831495e-05
3,580	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB	7.2888516e-05
4,034	Missing Value Imputation on Multidimensional Time Series	2021	VLDB	6.9446462e-05
4,488	Horizon: Scalable Dependency-driven Data Cleaning	2021	VLDB	6.668457e-05
4,835	Adaptive Data Augmentation for Supervised Learning over Missing Data	2021	VLDB	6.486592e-05
5,518	Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks	2023	VLDB	6.1885722e-05
5,835	Semi-Supervised Data Cleaning with Raha and Baran	2021	CIDR	6.0720263e-05
9,539	DataVinci: Learning Syntactic and Semantic String Repairs	2025	SIGMOD	5.2528121e-05

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3	661	Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes	2013	SIGMOD
4	5,835	Semi-Supervised Data Cleaning with Raha and Baran	2021	CIDR
5	5,518	Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks	2023	VLDB
6	6,392	Qualitative Data Cleaning	2016	VLDB
7	10,785	Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables	2025	SIGMOD
8	7,880	Learning Over Dirty Data Without Cleaning	2020	SIGMOD
9	3,580	Automatic Data Repair: Are We Ready to Deploy?	2024	VLDB
10	1,323	Data Cleaning: Overview and Emerging Challenges	2016	SIGMOD