| 84 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00035920657 |
| 142 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00029114937 |
| 320 |
DeepDB: Learn from Data, not from Queries! |
2020 |
VLDB |
0.00021128745 |
| 355 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00020146245 |
| 427 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00018429918 |
| 461 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00017835351 |
| 508 |
NeuroCard: One Cardinality Estimator for All Tables |
2021 |
VLDB |
0.00017108973 |
| 545 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.0001657599 |
| 550 |
SageDB: A Learned Database System |
2019 |
CIDR |
0.00016525249 |
| 774 |
FITing-Tree: A Data-aware Index Structure |
2019 |
SIGMOD |
0.00014063511 |
| 834 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00013539098 |
| 870 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.0001332034 |
| 1,064 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00012181459 |
| 1,132 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011873466 |
| 1,156 |
QuickSel: Quick Selectivity Learning with Mixture Models |
2020 |
SIGMOD |
0.00011759683 |
| 1,190 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00011564169 |
| 1,282 |
AI Meets AI: Leveraging Query Executions to Improve Index Recommendations |
2019 |
SIGMOD |
0.00011197535 |
| 1,416 |
Northstar: An Interactive Data Science System |
2018 |
VLDB |
0.00010707248 |
| 1,436 |
Towards a Learning Optimizer for Shared Clouds |
2019 |
VLDB |
0.00010658836 |
| 1,445 |
LISA: A Learned Index Structure for Spatial Data |
2020 |
SIGMOD |
0.00010607118 |
| 1,529 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010320909 |
| 1,583 |
Deep Learning Models for Selectivity Estimation of Multi-Attribute Queries |
2020 |
SIGMOD |
0.00010148362 |
| 1,815 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.5644373e-05 |
| 1,884 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
9.422145e-05 |
| 1,900 |
Design Continuums and the Path Toward Self-Designing Key-Value Stores that Know and Learn |
2019 |
CIDR |
9.3926585e-05 |
| 1,931 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
9.3449634e-05 |
| 1,991 |
Chucky: A Succinct Cuckoo Filter for LSM-Tree |
2021 |
SIGMOD |
9.2264312e-05 |
| 2,009 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.1813272e-05 |
| 2,247 |
Efficiently Searching In-Memory Sorted Arrays: Revenge of the Interpolation Search? |
2019 |
SIGMOD |
8.7591557e-05 |
| 2,249 |
Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations |
2019 |
SIGMOD |
8.7479608e-05 |
| 2,254 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
8.7429699e-05 |
| 2,584 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2435322e-05 |
| 2,590 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
8.2368464e-05 |
| 2,696 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
8.1068354e-05 |
| 2,772 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
8.0148928e-05 |
| 2,828 |
Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings |
2020 |
SIGMOD |
7.9476509e-05 |
| 2,844 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
7.9291659e-05 |
| 2,870 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
7.9033232e-05 |
| 2,891 |
Optimal Column Layout for Hybrid Workloads |
2019 |
VLDB |
7.887378e-05 |
| 2,913 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.855786e-05 |
| 2,929 |
iBTune: Individualized Buffer Tuning for Large-scale Cloud Databases |
2019 |
VLDB |
7.830745e-05 |
| 3,062 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
7.6809918e-05 |
| 3,244 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
7.479122e-05 |
| 3,249 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
7.4761584e-05 |
| 3,282 |
Estimating Cardinalities with Deep Sketches |
2019 |
SIGMOD |
7.4491295e-05 |
| 3,328 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.4094448e-05 |
| 3,481 |
LOGER: A Learned Optimizer towards Generating Efficient and Robust Query Execution Plans |
2023 |
VLDB |
7.2463722e-05 |
| 3,486 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.2428834e-05 |
| 3,489 |
Cosine: A Cloud-Cost Optimized Self-Designing Key-Value Storage Engine |
2022 |
VLDB |
7.2421958e-05 |
| 3,555 |
Astrid: Accurate Selectivity Estimation for String Predicates using Deep Learning |
2021 |
VLDB |
7.1877332e-05 |