| 430 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00018409112 |
| 848 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00013506188 |
| 1,132 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011898257 |
| 1,191 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00011590153 |
| 1,550 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
0.00010282449 |
| 1,878 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
9.4451309e-05 |
| 2,004 |
FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation |
2021 |
VLDB |
9.2065719e-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 |
| 2,765 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
8.0439015e-05 |
| 2,866 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
7.9258875e-05 |
| 2,908 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.8742664e-05 |
| 3,206 |
CDFShop: Exploring and Optimizing Learned Index Structures |
2020 |
SIGMOD |
7.5397402e-05 |
| 3,563 |
Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift |
2023 |
SIGMOD |
7.2042148e-05 |
| 3,697 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
7.0882335e-05 |
| 3,703 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
7.0842566e-05 |
| 3,803 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
7.0127652e-05 |
| 4,375 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
6.6292167e-05 |
| 4,457 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5913732e-05 |
| 4,482 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
6.5802486e-05 |
| 4,508 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
6.5704964e-05 |
| 4,616 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.5000712e-05 |
| 4,721 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
6.4541703e-05 |
| 4,741 |
Machine Learning for Databases |
2021 |
VLDB |
6.4410027e-05 |
| 4,756 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
6.43221e-05 |
| 4,850 |
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data |
2023 |
SIGMOD |
6.3808017e-05 |
| 4,890 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
6.3682031e-05 |
| 5,041 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
6.3006152e-05 |
| 5,214 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.2248104e-05 |
| 5,537 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
6.0919359e-05 |
| 5,571 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
6.080267e-05 |
| 5,716 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
6.0194657e-05 |
| 5,865 |
Modeling Shifting Workloads for Learned Database Systems |
2024 |
SIGMOD |
5.9659203e-05 |
| 5,929 |
Self-Organizing Data Containers |
2022 |
CIDR |
5.9439349e-05 |
| 5,974 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9305575e-05 |
| 6,209 |
Automated Multidimensional Data Layouts in Amazon Redshift |
2024 |
SIGMOD |
5.8495489e-05 |
| 6,416 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
5.7920805e-05 |
| 6,595 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
5.7413481e-05 |
| 6,719 |
Replicated Layout for In-Memory Database Systems |
2022 |
VLDB |
5.6985717e-05 |
| 6,821 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
5.6720444e-05 |
| 6,863 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
5.6607844e-05 |
| 7,018 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
5.619958e-05 |
| 7,322 |
LIDER: An Efficient High-dimensional Learned Index for Large-scale Dense Passage Retrieval |
2023 |
VLDB |
5.5533524e-05 |
| 7,385 |
Towards Foundation Database Models |
2025 |
CIDR |
5.5385053e-05 |
| 7,598 |
SageDB: An Instance-Optimized Data Analytics System |
2022 |
VLDB |
5.4871733e-05 |
| 7,864 |
Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD |
2024 |
VLDB |
5.4367919e-05 |
| 8,196 |
WISK: A Workload-aware Learned Index for Spatial Keyword Queries |
2023 |
SIGMOD |
5.3794981e-05 |
| 8,200 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
5.3787447e-05 |
| 8,369 |
Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing |
2023 |
VLDB |
5.3450708e-05 |
| 8,403 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
5.3389852e-05 |