| 819 |
ALEX: An Updatable Adaptive Learned Index |
2020 |
SIGMOD |
0.00016237497 |
| 844 |
The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds |
2020 |
VLDB |
0.00015964123 |
| 1,438 |
Benchmarking Learned Indexes |
2021 |
VLDB |
0.00011965956 |
| 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 |
| 3,614 |
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 |
| 3,801 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7528979e-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 |
| 4,086 |
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 |
| 4,830 |
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 |
| 5,310 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
5.5713508e-05 |
| 5,327 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
5.5660777e-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 |
| 5,769 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
5.3326049e-05 |
| 5,868 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
5.2928769e-05 |
| 5,925 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
5.2669029e-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 |
| 6,806 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
4.917024e-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 |
| 7,870 |
SALI: A Scalable Adaptive Learned Index Framework based on Probability Models |
2023 |
SIGMOD |
4.6271153e-05 |
| 8,079 |
Accelerating String-key Learned Index Structures via Memoization-based Incremental Training |
2024 |
VLDB |
4.5873372e-05 |
| 8,100 |
Hyper: A High-Performance and Memory-Efficient Learned Index via Hybrid Construction |
2024 |
SIGMOD |
4.5821762e-05 |
| 8,221 |
Sieve: A Learned Data-Skipping Index for Data Analytics |
2023 |
VLDB |
4.5511941e-05 |
| 8,624 |
Limousine: Blending Learned and Classical Indexes to Self-Design Larger-than-Memory Cloud Storage Engines |
2024 |
SIGMOD |
4.4786127e-05 |
| 8,653 |
Adaptive Hybrid Indexes |
2022 |
SIGMOD |
4.4696663e-05 |
| 8,668 |
Algorithmic Complexity Attacks on Dynamic Learned Indexes |
2024 |
VLDB |
4.4671214e-05 |
| 8,811 |
Tuning Hierarchical Learned Indexes on Disk and Beyond |
2022 |
SIGMOD |
4.4398976e-05 |
| 8,952 |
One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting |
2024 |
SIGMOD |
4.4195459e-05 |
| 9,290 |
PriPL-Tree: Accurate Range Query for Arbitrary Distribution under Local Differential Privacy |
2024 |
VLDB |
4.358174e-05 |
| 9,351 |
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs |
2024 |
SIGMOD |
4.3490308e-05 |
| 9,618 |
A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach |
2025 |
SIGMOD |
4.3131993e-05 |
| 9,745 |
Why Are Learned Indexes So Effective but Sometimes Ineffective? |
2025 |
VLDB |
4.2856385e-05 |
| 9,891 |
DBMS Fitting: Why should we learn what we already know? |
2020 |
CIDR |
4.2573619e-05 |
| 9,947 |
SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index |
2026 |
SIGMOD |
4.2391999e-05 |