| 1,742 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
9.9382185e-05 |
| 2,443 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
8.6373807e-05 |
| 2,903 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
8.0416223e-05 |
| 3,068 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
7.859091e-05 |
| 3,231 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
7.6889233e-05 |
| 3,496 |
TreeLine: An Update-In-Place Key-Value Store for Modern Storage |
2023 |
VLDB |
7.4372186e-05 |
| 4,004 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
7.0365146e-05 |
| 4,107 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
6.9589272e-05 |
| 4,256 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
6.8662757e-05 |
| 4,598 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
6.683617e-05 |
| 4,637 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
6.6558829e-05 |
| 4,661 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.6386984e-05 |
| 4,742 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
6.6007088e-05 |
| 4,852 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
6.5429252e-05 |
| 4,901 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
6.5170528e-05 |
| 5,199 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
6.3907666e-05 |
| 5,260 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
6.3644313e-05 |
| 5,789 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
6.1471889e-05 |
| 5,836 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
6.1316846e-05 |
| 5,938 |
Towards instance-optimized data systems |
2021 |
VLDB |
6.097047e-05 |
| 6,182 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
6.0232833e-05 |
| 6,370 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
5.9620077e-05 |
| 6,444 |
Range Search over Encrypted Multi-Attribute Data |
2023 |
VLDB |
5.938397e-05 |
| 6,958 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
5.7990776e-05 |
| 7,521 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
5.6603106e-05 |
| 7,721 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
5.6188321e-05 |
| 7,881 |
Towards Designing and Learning Piecewise Space-Filling Curves |
2023 |
VLDB |
5.593772e-05 |
| 8,100 |
The Case for Learned In-Memory Joins |
2023 |
VLDB |
5.5455315e-05 |
| 8,204 |
The next 50 Years in Database Indexing or: The Case for Automatically Generated Index Structures |
2022 |
VLDB |
5.5361142e-05 |
| 8,303 |
Time Series Representation for Visualization in Apache IoTDB |
2024 |
SIGMOD |
5.5112019e-05 |
| 8,443 |
WISK: A Workload-aware Learned Index for Spatial Keyword Queries |
2023 |
SIGMOD |
5.4946575e-05 |
| 8,482 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
5.4880805e-05 |
| 8,500 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
5.4845183e-05 |
| 8,547 |
Memento Filter: A Fast, Dynamic, and Robust Range Filter |
2024 |
SIGMOD |
5.4742553e-05 |
| 8,697 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
5.4473761e-05 |
| 8,996 |
AirIndex: Versatile Index Tuning Through Data and Storage |
2023 |
SIGMOD |
5.4009155e-05 |
| 9,151 |
Diva: Dynamic Range Filter for Var-Length Keys and Queries |
2025 |
VLDB |
5.3726522e-05 |
| 9,286 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
5.3541789e-05 |
| 9,322 |
Rethinking The Compaction Policies in LSM-trees |
2025 |
SIGMOD |
5.3458264e-05 |
| 9,327 |
Are Joins over LSM-trees Ready? Take RocksDB as an Example |
2025 |
VLDB |
5.3449422e-05 |
| 9,733 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
5.2802856e-05 |
| 9,902 |
Towards Systematic Index Dynamization |
2024 |
VLDB |
5.2464179e-05 |
| 10,038 |
Understanding Robustness Issues of Updatable Learned Indexes: [Experiments & Analysis] |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,087 |
High Performance or Low Memory? An Updatable Learned Index Framework for Time-Space Tradeoff |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,113 |
SplineSketch: Even More Accurate Quantiles with Error Guarantees |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,169 |
From Learning to Recycling: A Log-Structured Learned-Less Index |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,172 |
HIRE: A Hybrid Learned Index for Robust and Efficient Performance under Mixed Workloads |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,176 |
Improving Range Scan Performance in LSM-trees with Group Caching |
2026 |
SIGMOD |
5.1725247e-05 |
| 10,282 |
Toward Drift-Aware Database Benchmarking |
2026 |
VLDB |
5.1725247e-05 |
| 10,331 |
LiBox: A Learned Index as an Array to Minimize Last-Mile Search |
2026 |
VLDB |
5.1725247e-05 |