| 415 |
SystemML: Declarative Machine Learning on Spark |
2016 |
VLDB |
0.0001865959 |
| 1,081 |
Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML |
2014 |
VLDB |
0.00012123917 |
| 1,255 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011325762 |
| 1,614 |
Compressed Linear Algebra for Large-Scale Machine Learning |
2016 |
VLDB |
0.00010071891 |
| 1,668 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.9371612e-05 |
| 2,326 |
SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging |
2021 |
SIGMOD |
8.6309237e-05 |
| 3,101 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
7.649219e-05 |
| 3,330 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
7.4173693e-05 |
| 4,116 |
Resource Elasticity for Large-Scale Machine Learning |
2015 |
SIGMOD |
6.7961306e-05 |
| 4,330 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
6.6595681e-05 |
| 4,334 |
LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems |
2021 |
SIGMOD |
6.6569314e-05 |
| 5,572 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
2023 |
SIGMOD |
6.0802555e-05 |
| 6,662 |
UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads |
2022 |
VLDB |
5.7171651e-05 |
| 6,878 |
DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines |
2022 |
CIDR |
5.657878e-05 |
| 7,410 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
5.5342768e-05 |
| 7,839 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
5.4432099e-05 |
| 8,384 |
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra |
2023 |
SIGMOD |
5.3421754e-05 |
| 9,549 |
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example |
2023 |
SIGMOD |
5.1599622e-05 |
| 10,305 |
Fast and Scalable Data Transfer Across Data Systems |
2025 |
SIGMOD |
5.0400722e-05 |
| 10,816 |
FedAugment: Table Augmentation Search over Decentralized Data Repositories |
2026 |
VLDB |
4.9793485e-05 |
| 10,832 |
ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling |
2026 |
VLDB |
4.9793485e-05 |
| 10,891 |
Matryoshka: Uncovering Relevant Features in Data Lakes to Enhance Machine Learning Applications |
2026 |
VLDB |
4.9793485e-05 |
| 10,945 |
Morphing-based Compression for Data-centric ML Pipelines |
2026 |
VLDB |
4.9793485e-05 |
| 11,284 |
CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines |
2025 |
VLDB |
4.9793485e-05 |
| 11,397 |
Enter the Warp: Fast and Adaptive Data Transfer with XDBC |
2025 |
VLDB |
4.9793485e-05 |
| 12,689 |
Resiliency-Aware Data Management |
2011 |
VLDB |
4.9793485e-05 |
| 13,593 |
Demonstrating EarthLake: A Model Lake System for Earth Observation Foundation Model Management |
2026 |
VLDB |
- |
| 13,625 |
Demonstrating CatDB: LLM-based Generation of Data-centric ML Pipelines |
2025 |
SIGMOD |
- |
| 13,728 |
DEEM'22: Data Management for End-to-End Machine Learning |
2022 |
SIGMOD |
- |