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SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging

Summary: SliceLine uses monotonicity-based pruning and linear-algebra enumeration to accelerate top-K slice finding for ML model debugging. It enables exact enumeration over large, overlapping feature slices with parallelization on ML stacks, surpassing single-node memory limits. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
hb513c08b0e4a51dd
Venue
SIGMOD
Year
2021
Pagerank
8.6268411e-05
Overall Rank
2,329 | 84.35%
DOI
10.1145/3448016.3457323

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{sagadeeva_sigmod21,
        title = {{SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging}},
        author = {Sagadeeva, Svetlana and Boehm, Matthias},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3457323},
        url = {https://dl.acm.org/doi/10.1145/3448016.3457323},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,943 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.3254131e-05
5,574 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.0773771e-05
6,883 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6552024e-05
7,336 Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher 2022 SIGMOD 5.5472715e-05
9,426 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1779092e-05
11,205 Subgroup Discovery with Small and Alternative Feature Sets 2025 SIGMOD 4.9769913e-05
11,239 Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups 2025 VLDB 4.9769913e-05
11,374 Stress-Testing ML Pipelines with Adversarial Data Corruption 2025 VLDB 4.9769913e-05
11,413 mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines” 2025 VLDB 4.9769913e-05
11,831 Data Management Opportunities for Foundation Models 2022 CIDR 4.9769913e-05
11,876 Givens QR Decomposition over Relational Databases 2022 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 28 of 28 cited papers.

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

Rank Cited Paper Year Venue Pagerank
13 Mining Association Rules between Sets of Items in Large Databases 1993 SIGMOD 0.00064391979
164 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.000273994
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025171314
416 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018650998
654 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015096817
728 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014436728
878 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013296412
1,082 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012118261
1,152 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011796404
1,153 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011793347
1,223 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011468426
1,308 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011073863
1,614 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010067153
1,669 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.9324573e-05
1,928 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3563363e-05
2,249 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7544468e-05
2,498 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.3800917e-05
2,605 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.2273571e-05
3,042 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.7179591e-05
3,130 MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness 2020 SIGMOD 7.6113732e-05
3,518 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.236638e-05
3,612 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 7.1599588e-05
3,738 Learning to Validate the Predictions of Black Box Classifiers on Unseen Data 2020 SIGMOD 7.0609398e-05
5,182 Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale 2019 SIGMOD 6.2377015e-05
5,305 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 6.1860284e-05
6,594 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7394502e-05
7,087 Building Machine Learning Systems that Understand 2016 SIGMOD 5.5999163e-05
7,885 Identifying Insufficient Data Coverage in Databases with Multiple Relations 2020 VLDB 5.4315576e-05
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