| 4,557 |
Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches |
2021 |
VLDB |
6.087611e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9224501e-05 |
| 4,924 |
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases |
2022 |
VLDB |
5.822682e-05 |
| 5,084 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.7091191e-05 |
| 5,123 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6796998e-05 |
| 5,395 |
Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction |
2015 |
SIGMOD |
5.5318806e-05 |
| 5,806 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3200643e-05 |
| 6,075 |
Opportunistic Physical Design for Big Data Analytics |
2014 |
SIGMOD |
5.223901e-05 |
| 6,230 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.145989e-05 |
| 6,322 |
The BUDS Language for Distributed Bayesian Machine Learning |
2017 |
SIGMOD |
5.1124615e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1083405e-05 |
| 6,330 |
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse |
2018 |
VLDB |
5.1077416e-05 |
| 6,373 |
DeepBase: Deep Inspection of Neural Networks |
2019 |
SIGMOD |
5.0929326e-05 |
| 6,378 |
Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine |
2025 |
SIGMOD |
5.0909804e-05 |
| 6,380 |
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments |
2024 |
VLDB |
5.0893219e-05 |
| 6,404 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0786954e-05 |
| 6,538 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.023239e-05 |
| 6,549 |
Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
5.0175568e-05 |
| 6,644 |
A Relational Matrix Algebra and its Implementation in a Column Store |
2020 |
SIGMOD |
4.9782839e-05 |
| 6,722 |
GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages |
2013 |
SIGMOD |
4.9491521e-05 |
| 6,986 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8727048e-05 |
| 7,062 |
EAGr: Supporting Continuous Ego-centric Aggregate Queries over Large Dynamic Graphs |
2014 |
SIGMOD |
4.8462038e-05 |
| 7,179 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8078895e-05 |
| 7,664 |
Schema Independent Relational Learning |
2017 |
SIGMOD |
4.6857329e-05 |
| 7,920 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
4.6163888e-05 |
| 8,121 |
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? |
2021 |
SIGMOD |
4.5809305e-05 |
| 8,230 |
You Say 'What', I Hear 'Where' and 'Why' - (Mis-)Interpreting SQL to Derive Fine-Grained Provenance |
2018 |
VLDB |
4.5541444e-05 |
| 8,399 |
UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics |
2015 |
VLDB |
4.5257744e-05 |
| 8,444 |
Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage |
2021 |
VLDB |
4.5118994e-05 |
| 8,469 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
4.5041113e-05 |
| 8,789 |
Machine Learning Meets Big Spatial Data |
2019 |
VLDB |
4.4509194e-05 |
| 8,853 |
Complaint-Driven Training Data Debugging at Interactive Speeds |
2022 |
SIGMOD |
4.4350727e-05 |
| 8,864 |
Cerebro: A Layered Data Platform for Scalable Deep Learning |
2021 |
CIDR |
4.4326439e-05 |
| 8,968 |
Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases |
2016 |
SIGMOD |
4.4190464e-05 |
| 9,222 |
Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning |
2021 |
VLDB |
4.3698672e-05 |
| 9,237 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
4.3690661e-05 |
| 9,320 |
Powering In-Database Dynamic Model Slicing for Structured Data Analytics |
2024 |
VLDB |
4.3556432e-05 |
| 9,391 |
Database as Runtime: Compiling LLMs to SQL for In-database Model Serving |
2025 |
SIGMOD |
4.3441378e-05 |
| 9,436 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
4.3430376e-05 |
| 9,476 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
4.3341665e-05 |
| 9,856 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.269353e-05 |
| 10,095 |
NeurStore: Efficient In-database Deep Learning Model Management System |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,198 |
Quantile Estimation with Duplicates |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,378 |
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,388 |
Randomized Sketches for Quantile in LSM-tree based Store |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,482 |
Fast and Scalable Data Transfer Across Data Systems |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,499 |
Privacy and Accuracy-Aware AI/ML Model Deduplication |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,998 |
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems |
2024 |
VLDB |
4.1945683e-05 |
| 11,283 |
Demonstration of SPARQLML: An Interfacing Language for Supporting Graph Machine Learning for RDF Graphs |
2023 |
VLDB |
4.1945683e-05 |
| 11,287 |
AQUA: Automatic Collaborative Query Processing in Analytical Database |
2023 |
VLDB |
4.1945683e-05 |