Database Paper Browser

Back to papers

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
6213
Venue
SIGMOD
Year
2021
Pagerank
0.00010020173
Overall Rank
1,940 | 86.51%
DOI
10.1145/3448016.3457323

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
1,867 Interpretable Data-Based Explanations for Fairness Debugging 2022 SIGMOD 0.00010272055
7,000 Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher 2022 SIGMOD 4.8676312e-05
7,306 DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines 2022 CIDR 4.7678574e-05
8,092 Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications 2023 SIGMOD 4.587921e-05
9,118 Towards Observability for Production Machine Learning Pipelines 2022 VLDB 4.3928288e-05
10,504 Subgroup Discovery with Small and Alternative Feature Sets 2025 SIGMOD 4.1945683e-05
10,555 Mining the Minoria: Unknown, Under-represented, and Under-performing Minority Groups 2025 VLDB 4.1945683e-05
10,758 Stress-Testing ML Pipelines with Adversarial Data Corruption 2025 VLDB 4.1945683e-05
10,816 mlidea: Interactively Improving ML Data Preparation Code via "Shadow Pipelines" 2025 VLDB 4.1945683e-05
11,317 Data Management Opportunities for Foundation Models 2022 CIDR 4.1945683e-05
11,363 Givens QR Decomposition over Relational Databases 2022 SIGMOD 4.1945683e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 29 of 29 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 0.0010864752
181 Mining Frequent Patterns without Candidate Generation 2000 SIGMOD 0.00036992674
254 Snorkel: Rapid Training Data Creation with Weak Supervision 2018 VLDB 0.00030540555
557 SystemML: Declarative Machine Learning on Spark 2016 VLDB 0.00020197988
683 Cerebro: A Data System for Optimized Deep Learning Model Selection 2020 VLDB 0.00018195476
761 Materialization Optimizations for Feature Selection Workloads 2014 SIGMOD 0.00017053783
1,047 Functional Dependency Discovery: An Experimental Evaluation of Seven Algorithms 2015 VLDB 0.00014459715
1,099 Interpretable and Informative Explanations of Outcomes 2015 VLDB 0.00014096312
1,402 Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML 2014 VLDB 0.00012180605
1,420 Data Management Challenges in Production Machine Learning 2017 SIGMOD 0.00012057956
1,482 Automating Large-Scale Data Quality Verification 2018 VLDB 0.00011725533
1,532 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011472681
1,967 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9131712e-05
2,122 SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle 2020 CIDR 9.4989076e-05
2,163 Elastic Machine Learning Algorithms in Amazon SageMaker 2020 SIGMOD 9.3949234e-05
2,259 MithraCoverage: A System for Investigating Population Bias for Intersectional Fairness 2020 SIGMOD 9.167331e-05
2,630 PLANET: Massively Parallel Learning of Tree Ensembles with MapReduce 2009 VLDB 8.4128091e-05
2,667 Cumulon: Optimizing Statistical Data Analysis in the Cloud 2013 SIGMOD 8.3413995e-05
2,863 Incremental and Approximate Inference for Faster Occlusion-based Deep CNN Explanations 2019 SIGMOD 7.9877991e-05
3,772 FEXIPRO: Fast and Exact Inner Product Retrieval in Recommender Systems 2017 SIGMOD 6.7761705e-05
3,948 A Comparative Evaluation of Systems for Scalable Linear Algebra-based Analytics 2018 VLDB 6.5959084e-05
4,110 Learning to Validate the Predictions of Black Box Classifiers on Unseen Data 2020 SIGMOD 6.4428544e-05
4,401 LEMP: Fast Retrieval of Large Entries in a Matrix Product 2015 SIGMOD 6.2211271e-05
4,409 Declarative Recursive Computation on an RDBMS 2019 VLDB 6.2104034e-05
4,829 An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets 2009 PODS 5.8925807e-05
5,251 Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale 2019 SIGMOD 5.6029615e-05
6,538 Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent 2019 SIGMOD 5.023239e-05
6,615 Building Machine Learning Systems that Understand 2016 SIGMOD 4.9936072e-05
7,714 Identifying Insufficient Data Coverage in Databases with Multiple Relations 2020 VLDB 4.6700455e-05
Previous Page 1 / 1 Next

Semantically Similar Papers

Overall Rank Paper Year Venue Pagerank
3,319 Sketching Linear Classifiers over Data Streams 2018 SIGMOD 7.226439e-05
5,123 Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning 2019 VLDB 5.6796998e-05
1,279 Towards Linear Algebra over Normalized Data 2017 VLDB 0.00012868394
9,222 Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning 2021 VLDB 4.3698672e-05
5,487 SPORES: Sum-Product Optimization via Relational Equality Saturation for Large Scale Linear Algebra 2020 VLDB 5.4791501e-05
4,774 LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems 2021 SIGMOD 5.9316087e-05
4,734 MLINSPECT: A Data Distribution Debugger for Machine Learning Pipelines 2021 SIGMOD 5.9615384e-05
4,749 Slice Tuner: A Selective Data Acquisition Framework for Accurate and Fair Machine Learning Models 2021 SIGMOD 5.9503689e-05
1,967 Compressed Linear Algebra for Large-Scale Machine Learning 2016 VLDB 9.9131712e-05
11,147 Reconstructing and Querying ML Pipeline Intermediates 2023 CIDR 4.1945683e-05