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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
6275
Venue
SIGMOD
Year
2021
Pagerank
8.8230899e-05
Overall Rank
2,273 | 84.41%
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
1,951 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 9.4252389e-05
7,160 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 5.6855887e-05
7,192 Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher 2022 SIGMOD 5.6772818e-05
7,232 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 5.6659017e-05
9,245 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 5.2992628e-05
10,778 Subgroup Discovery with Small and Alternative Feature Sets 2025 SIGMOD 5.093636e-05
10,823 Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups 2025 VLDB 5.093636e-05
10,991 Stress-Testing ML Pipelines with Adversarial Data Corruption 2025 VLDB 5.093636e-05
11,043 mlidea: Interactively Improving ML Data Preparation Code via “Shadow Pipelines” 2025 VLDB 5.093636e-05
11,516 Data Management Opportunities for Foundation Models 2022 CIDR 5.093636e-05
11,561 Givens QR Decomposition over Relational Databases 2022 SIGMOD 5.093636e-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 0.0006567919
161 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00027981772
205 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00025235185
415 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.0001888524
640 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00015409494
729 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014539421
858 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.0001356511
1,079 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012258469
1,147 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00011974846
1,157 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00011924049
1,250 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011485301
1,350 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011065626
1,644 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 0.00010132912
1,756 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.8172465e-05
1,937 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.4524758e-05
2,217 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.9332438e-05
2,560 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.4143663e-05
2,938 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 7.942728e-05
2,987 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.8907997e-05
3,091 MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness 2020 SIGMOD 7.7684166e-05
3,459 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 7.3953716e-05
3,670 Learning to Validate the Predictions of Black Box Classifiers on Unseen Data 2020 SIGMOD 7.2118928e-05
3,676 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 7.2094091e-05
5,058 Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale 2019 SIGMOD 6.3815523e-05
5,179 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 6.3299352e-05
6,485 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.8657457e-05
6,945 Building Machine Learning Systems that Understand 2016 SIGMOD 5.7309872e-05
7,721 Identifying Insufficient Data Coverage in Databases with Multiple Relations 2020 VLDB 5.5587371e-05
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