| 1,279 |
Towards Linear Algebra over Normalized Data |
2017 |
VLDB |
0.00012868394 |
| 1,532 |
Data Management in Machine Learning: Challenges, Techniques, and Systems |
2017 |
SIGMOD |
0.00011472681 |
| 1,940 |
SliceLine: Fast, Linear-Algebra-based Slice Finding for ML Model Debugging |
2021 |
SIGMOD |
0.00010020173 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4989076e-05 |
| 2,152 |
MISTIQUE: A System to Store and Query Model Intermediates for Model Diagnosis |
2018 |
SIGMOD |
9.4239787e-05 |
| 2,194 |
Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra |
2019 |
SIGMOD |
9.3138337e-05 |
| 2,350 |
An Intermediate Representation for Optimizing Machine Learning Pipelines |
2019 |
VLDB |
8.9788641e-05 |
| 2,791 |
Towards Demystifying Serverless Machine Learning Training |
2021 |
SIGMOD |
8.1206618e-05 |
| 3,327 |
Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects |
2020 |
SIGMOD |
7.2205738e-05 |
| 3,918 |
On Optimizing Operator Fusion Plans for Large-Scale Machine Learning in SystemML |
2018 |
VLDB |
6.6315176e-05 |
| 4,197 |
Incremental View Maintenance with Triple Lock Factorization Benefits |
2018 |
SIGMOD |
6.367895e-05 |
| 4,505 |
SPOOF: Sum-Product Optimization and Operator Fusion for Large-Scale Machine Learning |
2017 |
CIDR |
6.1327108e-05 |
| 4,557 |
Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches |
2021 |
VLDB |
6.087611e-05 |
| 4,602 |
Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture |
2019 |
VLDB |
6.0567387e-05 |
| 4,833 |
MNC: Structure-Exploiting Sparsity Estimation for Matrix Expressions |
2019 |
SIGMOD |
5.8916346e-05 |
| 4,957 |
Doing More with Less: Characterizing Dataset Downsampling for AutoML |
2021 |
VLDB |
5.8035715e-05 |
| 5,123 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6796998e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 6,191 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.1642282e-05 |
| 6,538 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.023239e-05 |
| 7,704 |
ExDRa: Exploratory Data Science on Federated Raw Data |
2021 |
SIGMOD |
4.6733838e-05 |
| 8,514 |
UPLIFT: Parallelization Strategies for Feature Transformations in Machine Learning Workloads |
2022 |
VLDB |
4.4944285e-05 |
| 8,657 |
Improving Matrix-vector Multiplication via Lossless Grammar-Compressed Matrices |
2022 |
VLDB |
4.4730648e-05 |
| 8,786 |
AWARE: Workload-aware, Redundancy-exploiting Linear Algebra |
2023 |
SIGMOD |
4.4521262e-05 |
| 9,041 |
TreeSensing: Linearly Compressing Sketches with Flexibility |
2023 |
SIGMOD |
4.4039656e-05 |
| 9,332 |
PlinyCompute: A Platform for High-Performance, Distributed, Data-Intensive Tool Development |
2018 |
SIGMOD |
4.3556432e-05 |
| 9,437 |
BlockJoin: Efficient Matrix Partitioning Through Joins |
2017 |
VLDB |
4.3425552e-05 |
| 10,286 |
QStore: Quantization-Aware Compressed Model Storage |
2026 |
VLDB |
4.1945683e-05 |
| 10,291 |
Morphing-based Compression for Data-centric ML Pipelines |
2026 |
VLDB |
4.1945683e-05 |
| 10,378 |
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture |
2025 |
SIGMOD |
4.1945683e-05 |