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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
8.5984124e-05
Overall Rank
2,341 | 84.31%
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
1,954 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.2965173e-05
5,230 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 6.2059854e-05
6,902 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6365602e-05
7,357 Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher 2022 SIGMOD 5.5289288e-05
9,454 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.1607878e-05
11,264 Subgroup Discovery with Small and Alternative Feature Sets 2025 SIGMOD 4.9605343e-05
11,295 Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups 2025 VLDB 4.9605343e-05
11,427 Stress-Testing ML Pipelines with Adversarial Data Corruption 2025 VLDB 4.9605343e-05
11,466 mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines” 2025 VLDB 4.9605343e-05
11,875 Data Management Opportunities for Foundation Models 2022 CIDR 4.9605343e-05
11,920 Givens QR Decomposition over Relational Databases 2022 SIGMOD 4.9605343e-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 0.0006440069
165 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027323925
200 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025443474
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00018619173
656 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015052106
727 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014426954
879 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00013255435
1,083 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012089325
1,151 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.000117662
1,154 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011762688
1,226 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011432354
1,278 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011208469
1,615 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010054378
1,616 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 0.00010048776
1,938 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3316919e-05
2,250 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.7477605e-05
2,293 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 8.6780858e-05
2,615 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.2019215e-05
3,052 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.6924471e-05
3,141 MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness 2020 SIGMOD 7.5862072e-05
3,254 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 7.4748207e-05
3,528 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.2134232e-05
3,741 Learning to Validate the Predictions of Black Box Classifiers on Unseen Data 2020 SIGMOD 7.0396815e-05
5,204 Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale 2019 SIGMOD 6.2170777e-05
5,323 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 6.165858e-05
6,603 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.7204739e-05
7,109 Building Machine Learning Systems that Understand 2016 SIGMOD 5.5814327e-05
7,902 Identifying Insufficient Data Coverage in Databases with Multiple Relations 2020 VLDB 5.4135994e-05
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