| 1,438 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011965956 |
| 1,464 |
Learning Multi-dimensional Indexes |
2020 |
SIGMOD |
0.0001184772 |
| 1,608 |
Qd-tree: Learning Data Layouts for Big Data Analytics |
2020 |
SIGMOD |
0.00011169837 |
| 1,887 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00010201938 |
| 2,550 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5569576e-05 |
| 2,676 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
8.326321e-05 |
| 3,136 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
7.4926368e-05 |
| 3,419 |
LeCo: Lightweight Compression via Learning Serial Correlations |
2024 |
SIGMOD |
7.1127752e-05 |
| 3,466 |
AI Meets Database: AI4DB and DB4AI |
2021 |
SIGMOD |
7.0645718e-05 |
| 3,614 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9124805e-05 |
| 3,777 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
6.7713324e-05 |
| 3,945 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
6.605467e-05 |
| 4,056 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4905689e-05 |
| 4,069 |
CDFShop: Exploring and Optimizing Learned Index Structures |
2020 |
SIGMOD |
6.4744708e-05 |
| 4,086 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
6.4579358e-05 |
| 4,377 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
6.2331947e-05 |
| 4,404 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
6.2052645e-05 |
| 4,431 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.1870601e-05 |
| 4,448 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
6.1741316e-05 |
| 4,830 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
5.8884997e-05 |
| 5,072 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
5.7121108e-05 |
| 5,154 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
5.6548237e-05 |
| 5,250 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
5.6007779e-05 |
| 5,289 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5790771e-05 |
| 5,310 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
5.5713508e-05 |
| 5,323 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
5.5671086e-05 |
| 5,327 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
5.5660777e-05 |
| 5,463 |
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data |
2023 |
SIGMOD |
5.4920768e-05 |
| 5,601 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
5.4158958e-05 |
| 5,655 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
5.3877506e-05 |
| 5,682 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
5.3752251e-05 |
| 5,769 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3326049e-05 |
| 5,787 |
Machine Learning for Databases |
2021 |
VLDB |
5.3256401e-05 |
| 5,868 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2928769e-05 |
| 6,298 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1182917e-05 |
| 6,442 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
5.0541252e-05 |
| 6,488 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
5.0378878e-05 |
| 6,723 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
4.9449538e-05 |
| 6,774 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
4.9253635e-05 |
| 6,806 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
4.917024e-05 |
| 6,860 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
4.9008421e-05 |
| 6,883 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.8918682e-05 |
| 7,389 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
4.7386163e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |
| 7,631 |
Evaluating Persistent Memory Range Indexes: Part Two |
2022 |
VLDB |
4.6878629e-05 |
| 7,870 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
4.6271153e-05 |
| 7,894 |
LITS: An Optimized Learned Index for Strings |
2024 |
VLDB |
4.6196003e-05 |
| 8,079 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
4.5873372e-05 |
| 8,089 |
Towards Designing and Learning Piecewise Space-Filling Curves |
2023 |
VLDB |
4.5855593e-05 |
| 8,100 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
4.5821762e-05 |