| 85 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035864347 |
| 145 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.0002908188 |
| 318 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021167555 |
| 362 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00019989474 |
| 430 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00018409112 |
| 463 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00017804544 |
| 512 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00017050173 |
| 555 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016506678 |
| 560 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00016403151 |
| 779 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00014030069 |
| 848 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00013506188 |
| 868 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.00013354403 |
| 1,064 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012202282 |
| 1,132 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011898257 |
| 1,156 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011777105 |
| 1,191 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00011590153 |
| 1,279 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011226878 |
| 1,409 |
Northstar: An Interactive Data Science System |
2018 |
VLDB |
0.00010743451 |
| 1,433 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010677711 |
| 1,446 |
LISA: A Learned Index Structure for Spatial Data |
2020 |
SIGMOD |
0.00010629222 |
| 1,550 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010282449 |
| 1,580 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010180835 |
| 1,846 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.513089e-05 |
| 1,878 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
9.4451309e-05 |
| 1,889 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
9.4273689e-05 |
| 1,975 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
9.2807031e-05 |
| 1,980 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
9.2595896e-05 |
| 2,004 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.2065719e-05 |
| 2,236 |
Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search? |
2019 |
SIGMOD |
8.7776298e-05 |
| 2,238 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
8.7751619e-05 |
| 2,277 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
8.7075835e-05 |
| 2,583 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2589758e-05 |
| 2,636 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
8.1941043e-05 |
| 2,690 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
8.1258173e-05 |
| 2,765 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
8.0439015e-05 |
| 2,834 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
7.9560627e-05 |
| 2,837 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
7.9527715e-05 |
| 2,866 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
7.9258875e-05 |
| 2,882 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.9116043e-05 |
| 2,908 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.8742664e-05 |
| 3,032 |
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases |
2019 |
VLDB |
7.7351139e-05 |
| 3,060 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
7.6928239e-05 |
| 3,230 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
7.5056037e-05 |
| 3,232 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
7.50343e-05 |
| 3,271 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
7.4744941e-05 |
| 3,479 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
7.2695068e-05 |
| 3,486 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2636102e-05 |
| 3,487 |
LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans |
2023 |
VLDB |
7.263041e-05 |
| 3,562 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.2046519e-05 |
| 3,563 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.2042148e-05 |