| 826 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016224841 |
| 857 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00015882892 |
| 1,460 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011887068 |
| 1,889 |
Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads |
2021 |
VLDB |
0.00010200865 |
| 2,552 |
Updatable Learned Index with Precise Positions |
2021 |
VLDB |
8.5530411e-05 |
| 2,678 |
Effectively Learning Spatial Indices |
2020 |
VLDB |
8.3252088e-05 |
| 3,131 |
FINEdex: A Fine-grained Learned Index Scheme for Scalable and Concurrent Memory Systems |
2022 |
VLDB |
7.4985793e-05 |
| 3,416 |
LeCo: Lightweight Compression via Learning Serial Correlations |
2024 |
SIGMOD |
7.1196234e-05 |
| 3,611 |
SNARF: A Learning-Enhanced Range Filter |
2022 |
VLDB |
6.9191399e-05 |
| 3,779 |
Instance-Optimized Data Layouts for Cloud Analytics Workloads |
2021 |
SIGMOD |
6.7747205e-05 |
| 3,798 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7592302e-05 |
| 4,084 |
APEX: A High-Performance Learned Index on Persistent Memory |
2022 |
VLDB |
6.4622113e-05 |
| 4,097 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
6.4551616e-05 |
| 4,128 |
Are Updatable Learned Indexes Ready? |
2022 |
VLDB |
6.4292373e-05 |
| 4,399 |
HUNTER: An Online Cloud Database Hybrid Tuning System for Personalized Requirements |
2022 |
SIGMOD |
6.2225151e-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 |
| 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 |
| 5,258 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
5.5998705e-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 |
| 5,642 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
5.3929294e-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 |
| 5,924 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2719183e-05 |
| 6,297 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.1227886e-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 |
| 6,885 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
4.895386e-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 |
| 7,395 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.7420041e-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 |
| 8,101 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
4.5854141e-05 |
| 8,222 |
Sieve: A Learned Data-Skipping Index for Data Analytics |
2023 |
VLDB |
4.5555621e-05 |
| 8,627 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4829101e-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 |
| 8,811 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
4.4441574e-05 |
| 8,948 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
4.423786e-05 |
| 9,285 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
4.3623546e-05 |
| 9,346 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
4.3532026e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3173366e-05 |
| 9,746 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
4.2897489e-05 |
| 9,892 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
4.261445e-05 |
| 9,945 |
SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index |
2026 |
SIGMOD |
4.2432653e-05 |