| 485 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00017714392 |
| 516 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00017281242 |
| 923 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00013252326 |
| 1,217 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00011709392 |
| 1,742 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
9.9382185e-05 |
| 1,933 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
9.5367762e-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 |
| 3,114 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
7.79794e-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 |
| 3,539 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
7.3903311e-05 |
| 3,575 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
7.354696e-05 |
| 3,825 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
7.1511577e-05 |
| 4,004 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
7.0365146e-05 |
| 4,256 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
6.8662757e-05 |
| 4,377 |
LeCo: Lightweight Compression via Learning Serial Correlations |
2024 |
SIGMOD |
6.8009976e-05 |
| 4,417 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
6.7766173e-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 |
| 4,852 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
6.5429252e-05 |
| 4,926 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
6.5064866e-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 |
| 5,489 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.2678203e-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 |
| 6,373 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
5.9616981e-05 |
| 6,958 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
5.7990776e-05 |
| 7,077 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
5.7629343e-05 |
| 7,521 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
5.6603106e-05 |
| 7,700 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
5.6222486e-05 |
| 7,721 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
5.6188321e-05 |
| 7,929 |
Sieve: A Learned Data-Skipping Index for Data Analytics |
2023 |
VLDB |
5.5817682e-05 |
| 8,343 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
5.5045113e-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 |
| 8,697 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
5.4473761e-05 |
| 8,856 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
5.4214637e-05 |
| 9,215 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
5.3643629e-05 |
| 9,286 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
5.3541789e-05 |
| 9,606 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
5.3077157e-05 |
| 9,733 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
5.2802856e-05 |
| 9,890 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
5.2500123e-05 |
| 9,947 |
SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index |
2026 |
SIGMOD |
5.2299972e-05 |