| 422 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00018488849 |
| 835 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00013575971 |
| 1,128 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011901941 |
| 1,188 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00011598149 |
| 1,525 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010355133 |
| 1,877 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
9.4498401e-05 |
| 2,002 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.2076835e-05 |
| 2,582 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
8.2641447e-05 |
| 2,583 |
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation |
2021 |
VLDB |
8.2589842e-05 |
| 2,765 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
8.0401855e-05 |
| 2,861 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
7.9295281e-05 |
| 2,908 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.8716173e-05 |
| 3,198 |
CDFShop: Exploring and Optimizing Learned Index Structures |
2020 |
SIGMOD |
7.5422544e-05 |
| 3,565 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.200937e-05 |
| 3,621 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
7.1510804e-05 |
| 3,701 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
7.0820503e-05 |
| 3,710 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
7.0775695e-05 |
| 4,362 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
6.6357559e-05 |
| 4,366 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
6.6330579e-05 |
| 4,459 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5883555e-05 |
| 4,485 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
6.5771335e-05 |
| 4,618 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.4981355e-05 |
| 4,715 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
6.4537149e-05 |
| 4,743 |
Machine Learning for Databases |
2021 |
VLDB |
6.4379536e-05 |
| 4,755 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
6.4309508e-05 |
| 4,851 |
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data |
2023 |
SIGMOD |
6.377837e-05 |
| 4,890 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
6.3663299e-05 |
| 5,043 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
6.2979214e-05 |
| 5,216 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.2218868e-05 |
| 5,378 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
6.1551053e-05 |
| 5,405 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
6.1435108e-05 |
| 5,715 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
6.0178585e-05 |
| 5,850 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
5.9697921e-05 |
| 5,929 |
Self-Organizing Data Containers |
2022 |
CIDR |
5.9411211e-05 |
| 5,973 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9281867e-05 |
| 6,027 |
Automated Multidimensional Data Layouts in Amazon Redshift |
2024 |
SIGMOD |
5.9089922e-05 |
| 6,408 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
5.7921918e-05 |
| 6,597 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
5.7386302e-05 |
| 6,613 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
5.7326443e-05 |
| 6,715 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
5.6989853e-05 |
| 6,787 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
5.6810904e-05 |
| 6,867 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
5.6581046e-05 |
| 7,323 |
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval |
2023 |
VLDB |
5.5516885e-05 |
| 7,386 |
Towards Foundation Database Models |
2025 |
CIDR |
5.5360368e-05 |
| 7,604 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4846038e-05 |
| 7,869 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
5.4342182e-05 |
| 8,204 |
WISK: A Workload-aware Learned Index for Spatial Keyword Queries |
2023 |
SIGMOD |
5.3769515e-05 |
| 8,208 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
5.3761984e-05 |
| 8,374 |
Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing |
2023 |
VLDB |
5.3425405e-05 |
| 8,402 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
5.3375308e-05 |