| 4,601 |
Distributed Deep Learning on Data Systems: A Comparative Analysis of Approaches |
2021 |
VLDB |
6.05274e-05 |
| 4,787 |
The Relational Data Borg is Learning |
2020 |
VLDB |
5.9168117e-05 |
| 4,930 |
User-Defined Operators: Efficiently Integrating Custom Algorithms into Modern Databases |
2022 |
VLDB |
5.8171482e-05 |
| 5,124 |
Accelerating Generalized Linear Models with MLWeaving: A One-Size-Fits-All System for Any-Precision Learning |
2019 |
VLDB |
5.6747536e-05 |
| 5,400 |
Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction |
2015 |
SIGMOD |
5.5262667e-05 |
| 5,799 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
5.3219666e-05 |
| 5,817 |
BlinkML: Efficient Maximum Likelihood Estimation with Probabilistic Guarantees |
2019 |
SIGMOD |
5.3154329e-05 |
| 6,079 |
Opportunistic Physical Design for Big Data Analytics |
2014 |
SIGMOD |
5.2194019e-05 |
| 6,321 |
The BUDS Language for Distributed Bayesian Machine Learning |
2017 |
SIGMOD |
5.1075833e-05 |
| 6,327 |
The Tensor Data Platform: Towards an AI-centric Database System |
2023 |
CIDR |
5.1035567e-05 |
| 6,329 |
Efficient Construction of Approximate Ad-Hoc ML models Through Materialization and Reuse |
2018 |
VLDB |
5.1030159e-05 |
| 6,371 |
DeepBase: Deep Inspection of Neural Networks |
2019 |
SIGMOD |
5.0880545e-05 |
| 6,377 |
Mitigating the Impedance Mismatch between Prediction Query Execution and Database Engine |
2025 |
SIGMOD |
5.0860948e-05 |
| 6,379 |
SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments |
2024 |
VLDB |
5.0844374e-05 |
| 6,400 |
ColumnML: Column-Store Machine Learning with On-The-Fly Data Transformation |
2019 |
VLDB |
5.0739311e-05 |
| 6,535 |
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent |
2019 |
SIGMOD |
5.0184189e-05 |
| 6,546 |
Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace |
2019 |
SIGMOD |
5.0127399e-05 |
| 6,573 |
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle |
2022 |
SIGMOD |
5.0009513e-05 |
| 6,645 |
A Relational Matrix Algebra and its Implementation in a Column Store |
2020 |
SIGMOD |
4.9735157e-05 |
| 6,727 |
GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages |
2013 |
SIGMOD |
4.9444508e-05 |
| 6,984 |
A Cost-based Optimizer for Gradient Descent Optimization |
2017 |
SIGMOD |
4.8680519e-05 |
| 7,057 |
EAGr: Supporting Continuous Ego-centric Aggregate Queries over Large Dynamic Graphs |
2014 |
SIGMOD |
4.841817e-05 |
| 7,180 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8032775e-05 |
| 7,663 |
Schema Independent Relational Learning |
2017 |
SIGMOD |
4.6812239e-05 |
| 7,920 |
JoinBoost: Grow Trees Over Normalized Data Using Only SQL |
2023 |
VLDB |
4.6120304e-05 |
| 8,125 |
Automation of Data Prep, ML, and Data Science: New Cure or Snake Oil? |
2021 |
SIGMOD |
4.5765541e-05 |
| 8,228 |
You Say 'What', I Hear 'Where' and 'Why' - (Mis-)Interpreting SQL to Derive Fine-Grained Provenance |
2018 |
VLDB |
4.549777e-05 |
| 8,397 |
UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics |
2015 |
VLDB |
4.5208365e-05 |
| 8,435 |
Not Black-Box Anymore! Enabling Analytics-Aware Optimizations in Teradata Vantage |
2021 |
VLDB |
4.5075971e-05 |
| 8,464 |
Semantic Operators and Their Optimization: Enabling LLM-Based Data Processing with Accuracy Guarantees in LOTUS |
2025 |
VLDB |
4.5003888e-05 |
| 8,784 |
Machine Learning Meets Big Spatial Data |
2019 |
VLDB |
4.4473392e-05 |
| 8,853 |
Complaint-Driven Training Data Debugging at Interactive Speeds |
2022 |
SIGMOD |
4.4308213e-05 |
| 8,864 |
Cerebro: A Layered Data Platform for Scalable Deep Learning |
2021 |
CIDR |
4.4283952e-05 |
| 8,974 |
Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases |
2016 |
SIGMOD |
4.4148109e-05 |
| 9,225 |
Towards an Optimized GROUP BY Abstraction for Large-Scale Machine Learning |
2021 |
VLDB |
4.3656789e-05 |
| 9,244 |
Determining Exact Quantiles with Randomized Summaries |
2024 |
SIGMOD |
4.3648789e-05 |
| 9,325 |
Powering In-Database Dynamic Model Slicing for Structured Data Analytics |
2024 |
VLDB |
4.351469e-05 |
| 9,397 |
Database as Runtime: Compiling LLMs to SQL for In-database Model Serving |
2025 |
SIGMOD |
4.3399748e-05 |
| 9,441 |
Transforming ML Predictive Pipelines into SQL with MASQ |
2021 |
SIGMOD |
4.3389137e-05 |
| 9,478 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
4.3300131e-05 |
| 9,855 |
In-Database Data Imputation |
2024 |
SIGMOD |
4.2652623e-05 |
| 10,095 |
NeurStore: Efficient In-database Deep Learning Model Management System |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,198 |
Quantile Estimation with Duplicates |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,390 |
HyperMR: Efficient Hypergraph-enhanced Matrix Storage on Compute-in-Memory Architecture |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,399 |
Randomized Sketches for Quantile in LSM-tree based Store |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,492 |
Fast and Scalable Data Transfer Across Data Systems |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,508 |
Privacy and Accuracy-Aware AI/ML Model Deduplication |
2025 |
SIGMOD |
4.1905499e-05 |
| 11,001 |
Database Native Model Selection: Harnessing Deep Neural Networks in Database Systems |
2024 |
VLDB |
4.1905499e-05 |
| 11,285 |
Demonstration of SPARQLML: An Interfacing Language for Supporting Graph Machine Learning for RDF Graphs |
2023 |
VLDB |
4.1905499e-05 |
| 11,289 |
AQUA: Automatic Collaborative Query Processing in Analytical Database |
2023 |
VLDB |
4.1905499e-05 |