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HoloDetect: Few-Shot Learning for Error Detection

Summary: HoloDetect: few-shot error detection with a two-part model; rich representations and a data-augmentation policy learner. Augmenting a small seed of clean data yields ~94% precision, ~93% recall, ~20 F1 gains, and ~3x fewer labels than ML baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h8869392bcf4ef6bb
Venue
SIGMOD
Year
2019
Pagerank
0.00013268059
Overall Rank
883 | 94.07%
DOI
10.1145/3299869.3319888

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{heidari_sigmod19,
        title = {{HoloDetect: Few-Shot Learning for Error Detection}},
        author = {Heidari, Alireza and McGrath, Joshua and Ilyas, Ihab F. and Rekatsinas, Theodoros},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3319888},
        url = {https://dl.acm.org/doi/10.1145/3299869.3319888},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 45 of 45 citing papers.

Rank Citing Paper Year Venue Pagerank
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
329 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00020858443
1,342 Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning 2020 VLDB 0.00010968223
1,668 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9371612e-05
2,371 SCODED: Statistical Constraint Oriented Data Error Detection 2020 SIGMOD 8.5615698e-05
2,443 Approximate Denial Constraints 2020 VLDB 8.4586656e-05
2,598 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.2385793e-05
2,641 Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks 2020 SIGMOD 8.1787073e-05
3,013 Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale 2022 SIGMOD 7.7541678e-05
3,193 A Statistical Perspective on Discovering Functional Dependencies in Noisy Data 2020 SIGMOD 7.5505481e-05
3,263 Automatic Data Repair: Are We Ready to Deploy? 2024 VLDB 7.4809771e-05
4,195 PrIU: A Provenance-Based Approach for Incrementally Updating Regression Models 2020 SIGMOD 6.7422305e-05
4,424 Auto-Transform: Learning-to-Transform by Patterns 2020 VLDB 6.6048065e-05
5,076 Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and Beyond 2021 SIGMOD 6.2860582e-05
5,247 Enabling SQL-based Training Data Debugging for Federated Learning 2022 VLDB 6.2121767e-05
5,572 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.0802555e-05
5,954 Semi-Supervised Data Cleaning with Raha and Baran 2021 CIDR 5.9357922e-05
6,229 The Fast and the Private: Task-based Dataset Search 2024 CIDR 5.8444773e-05
6,525 Parallel Discrepancy Detection and Incremental Detection 2021 VLDB 5.756805e-05
6,552 Finding Label and Model Errors in Perception Data With Learned Observation Assertions 2022 SIGMOD 5.750057e-05
7,526 Auto-Prep: Holistic Prediction of Data Preparation Steps for Self-Service Business Intelligence 2025 VLDB 5.5020723e-05
7,538 Automating and Optimizing Data-Centric What-If Analyses on Native Machine Learning Pipelines 2023 SIGMOD 5.4995874e-05
7,648 MisDetect: Iterative Mislabel Detection using Early Loss 2024 VLDB 5.4772833e-05
7,738 Auto-Validate: Unsupervised Data Validation Using Data-Domain Patterns Inferred from Data Lakes 2021 SIGMOD 5.4623434e-05
7,839 ExDRa: Exploratory Data Science on Federated Raw Data 2021 SIGMOD 5.4432099e-05
7,872 Rock: Cleaning Data by Embedding ML in Logic Rules 2024 SIGMOD 5.4362062e-05
8,756 Exploratory Training: When Annotators Learn About Data 2023 SIGMOD 5.2840289e-05
9,311 VerifAI: Verified Generative AI 2024 CIDR 5.1965878e-05
9,608 Discovering Top-k Rules using Subjective and Objective Criteria 2023 SIGMOD 5.1527671e-05
9,616 GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models 2024 SIGMOD 5.1510548e-05
9,722 DataVinci: Learning Syntactic and Semantic String Repairs 2025 SIGMOD 5.1349531e-05
9,806 Making It Tractable to Catch Duplicates and Conflicts in Graphs 2023 SIGMOD 5.1257999e-05
9,874 MTSClean: Efficient Constraint-based Cleaning for Multi-Dimensional Time Series Data 2024 VLDB 5.1176637e-05
10,112 Data Augmentation for ML-driven Data Preparation and Integration 2021 VLDB 5.0789354e-05
10,188 Reptile: Aggregation-level Explanations for Hierarchical Data 2022 SIGMOD 5.0651993e-05
10,339 Parallel Rule Discovery from Large Datasets by Sampling 2022 SIGMOD 5.0195045e-05
10,352 Towards Scalable Visual Data Wrangling via Direct Manipulation 2026 CIDR 4.9793485e-05
10,529 Minimum Change ≠ Best Cleaning: Parallel and Incremental Error Detection under Integrity Constraints 2026 SIGMOD 4.9793485e-05
10,795 Measuring Database Unfairness via Dependency Quantification Under Differential Privacy 2026 VLDB 4.9793485e-05
10,855 PipeLens: Identifying Interventions for Resolving Malfunctioning Data Science Pipelines 2026 VLDB 4.9793485e-05
11,342 DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees 2025 VLDB 4.9793485e-05
11,353 UniClean: A Scalable Data Cleaning Solution for Mixed Errors based on Unified Cleaners and Optimized Cleaning Workflow 2025 VLDB 4.9793485e-05
11,411 Demonstrating Matelda for Multi-Table Error Detection 2025 VLDB 4.9793485e-05
11,661 Generalizable Data Cleaning of Tabular Data in Latent Space 2024 VLDB 4.9793485e-05
11,876 PGE: Robust Product Graph Embedding Learning for Error Detection 2022 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

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