| 2,552 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5530411e-05 |
| 3,131 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
7.4985793e-05 |
| 3,611 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9191399e-05 |
| 4,084 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
6.4622113e-05 |
| 4,128 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4292373e-05 |
| 4,427 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
6.1965873e-05 |
| 4,646 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
6.0250374e-05 |
| 4,835 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
5.8905445e-05 |
| 5,074 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
5.7175726e-05 |
| 5,157 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
5.6589595e-05 |
| 5,314 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
5.5724608e-05 |
| 5,315 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
5.5723424e-05 |
| 5,319 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
5.5713974e-05 |
| 5,428 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
5.5091613e-05 |
| 5,592 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
5.4210633e-05 |
| 5,762 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3377299e-05 |
| 5,863 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2979639e-05 |
| 6,297 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1227886e-05 |
| 6,424 |
Range Search over Encrypted Multi-Attribute Data |
2023 |
VLDB |
5.0670573e-05 |
| 6,445 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
5.0589805e-05 |
| 6,492 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
5.042727e-05 |
| 6,724 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
4.9484506e-05 |
| 7,042 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
4.8541986e-05 |
| 7,390 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
4.7431654e-05 |
| 7,869 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
4.6315248e-05 |
| 8,076 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
4.5917398e-05 |
| 8,405 |
Towards Designing and Learning Piecewise Space-Filling Curves |
2023 |
VLDB |
4.5224126e-05 |
| 8,414 |
The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures |
2022 |
VLDB |
4.5203005e-05 |
| 8,417 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
4.5194164e-05 |
| 8,434 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
4.5141748e-05 |
| 8,636 |
WISK: A Workload-aware Learned Index for Spatial Keyword Queries |
2023 |
SIGMOD |
4.4801284e-05 |
| 8,655 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4739554e-05 |
| 8,671 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
4.4714076e-05 |
| 8,724 |
Memento Filter: A Fast, Dynamic, and Robust Range Filter |
2024 |
SIGMOD |
4.4600996e-05 |
| 8,811 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
4.4441574e-05 |
| 9,095 |
AirIndex: Versatile Index Tuning Through Data and Storage |
2023 |
SIGMOD |
4.3975034e-05 |
| 9,218 |
Diva: Dynamic Range Filter for Var-Length Keys and Queries |
2025 |
VLDB |
4.3702863e-05 |
| 9,317 |
Are Joins over LSM-trees Ready? Take RocksDB as an Example |
2025 |
VLDB |
4.3556432e-05 |
| 9,346 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
4.3532026e-05 |
| 9,386 |
Rethinking The Compaction Policies in LSM-trees |
2025 |
SIGMOD |
4.3455975e-05 |
| 9,746 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
4.2897489e-05 |
| 9,903 |
Towards Systematic Index Dynamization |
2024 |
VLDB |
4.258022e-05 |
| 10,038 |
Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,087 |
High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,113 |
SplineSketch: Even More Accurate Quantiles with Error Guarantees |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,169 |
From Learning to Recycling: A Log-Structured Learned-Less Index |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,172 |
HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,176 |
Improving Range Scan Performance in LSM-trees with Group Caching |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,319 |
LiBox: A Learned Index as an Array to Minimize Last-Mile Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,396 |
VEGA: An Active-tuning Learned Index with Group-Wise Learning Granularity |
2025 |
SIGMOD |
4.1945683e-05 |