| 3,632 |
Learned Index: A Comprehensive Experimental Evaluation |
2023 |
VLDB |
7.1274345e-05 |
| 3,679 |
Leaper: A Learned Prefetcher for Cache Invalidation in LSM-tree based Storage Engines |
2020 |
VLDB |
7.0849238e-05 |
| 3,709 |
Stable Learned Bloom Filters for Data Streams |
2020 |
VLDB |
7.0586477e-05 |
| 3,715 |
The Case for a Learned Sorting Algorithm |
2020 |
SIGMOD |
7.0549546e-05 |
| 3,716 |
CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm |
2022 |
VLDB |
7.0541948e-05 |
| 3,951 |
Deploying a Steered Query Optimizer in Production at Microsoft |
2022 |
SIGMOD |
6.8884038e-05 |
| 4,169 |
LeCo: Lightweight Compression via Learning Serial Correlations |
2024 |
SIGMOD |
6.7526687e-05 |
| 4,207 |
Proteus: A Self-Designing Range Filter |
2022 |
SIGMOD |
6.7226406e-05 |
| 4,302 |
A Method for Optimizing Opaque Filter Queries |
2020 |
SIGMOD |
6.6614501e-05 |
| 4,385 |
NFL: Robust Learned Index via Distribution Transformation |
2022 |
VLDB |
6.613814e-05 |
| 4,389 |
DILI: A Distribution-Driven Learned Index |
2023 |
VLDB |
6.6111249e-05 |
| 4,459 |
Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts |
2022 |
SIGMOD |
6.5757572e-05 |
| 4,479 |
Lightweight and Accurate Cardinality Estimation by Neural Network Gaussian Process |
2022 |
SIGMOD |
6.5665703e-05 |
| 4,549 |
One Model to Rule them All: Towards Zero-Shot Learning for Databases |
2022 |
CIDR |
6.5328866e-05 |
| 4,621 |
The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures |
2022 |
SIGMOD |
6.4828493e-05 |
| 4,646 |
Stacked Filters: Learning to Filter by Structure |
2021 |
VLDB |
6.4725846e-05 |
| 4,656 |
PLIN: A Persistent Learned Index for Non-Volatile Memory with High Performance and Instant Recovery |
2023 |
VLDB |
6.468994e-05 |
| 4,727 |
Hist-Tree: Those Who Ignore It Are Doomed to Learn |
2021 |
CIDR |
6.4327925e-05 |
| 4,771 |
GRF: A Global Range Filter for LSM-Trees with Shape Encoding |
2024 |
SIGMOD |
6.412225e-05 |
| 4,773 |
Cuckoo Index: A Lightweight Secondary Index Structure |
2020 |
VLDB |
6.4102054e-05 |
| 4,792 |
Learned Approximate Query Processing: Make it Light, Accurate and Fast |
2021 |
CIDR |
6.4010108e-05 |
| 4,797 |
LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems |
2022 |
SIGMOD |
6.3978116e-05 |
| 4,833 |
Stage: Query Execution Time Prediction in Amazon Redshift |
2024 |
SIGMOD |
6.3834856e-05 |
| 4,879 |
The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data |
2023 |
SIGMOD |
6.3567479e-05 |
| 4,901 |
Oasis: An Optimal Disjoint Segmented Learned Range Filter |
2024 |
VLDB |
6.3483238e-05 |
| 4,915 |
Can Learned Models Replace Hash Functions? |
2023 |
VLDB |
6.3452789e-05 |
| 5,029 |
COMPASS: Online Sketch-based Query Optimization for In-Memory Databases |
2021 |
SIGMOD |
6.2952031e-05 |
| 5,065 |
Dissecting, Designing, and Optimizing LSM-based Data Stores |
2022 |
SIGMOD |
6.2789973e-05 |
| 5,082 |
InfiniFilter: Expanding Filters to Infinity and Beyond |
2023 |
SIGMOD |
6.2679091e-05 |
| 5,153 |
Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach |
2020 |
SIGMOD |
6.2375324e-05 |
| 5,361 |
Spitz: A Verifiable Database System |
2020 |
VLDB |
6.1497409e-05 |
| 5,397 |
Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices |
2023 |
SIGMOD |
6.1347527e-05 |
| 5,421 |
FILM: a Fully Learned Index for Larger-than-Memory Databases |
2023 |
VLDB |
6.1231965e-05 |
| 5,522 |
Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations |
2022 |
VLDB |
6.0818991e-05 |
| 5,687 |
HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning |
2023 |
VLDB |
6.0201937e-05 |
| 5,713 |
PilotScope: Steering Databases with Machine Learning Drivers |
2024 |
VLDB |
6.0090633e-05 |
| 5,728 |
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data |
2023 |
SIGMOD |
5.9979958e-05 |
| 5,837 |
Pre-training Summarization Models of Structured Datasets for Cardinality Estimation |
2022 |
VLDB |
5.9600736e-05 |
| 5,982 |
Towards instance-optimized data systems |
2021 |
VLDB |
5.9096991e-05 |
| 6,095 |
From Auto-tuning One Size Fits All to Self-designed and Learned Data-intensive Systems |
2019 |
SIGMOD |
5.8706416e-05 |
| 6,121 |
Breaking It Down: An In-depth Study of Index Advisors |
2024 |
VLDB |
5.863893e-05 |
| 6,137 |
Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads |
2023 |
SIGMOD |
5.8576977e-05 |
| 6,189 |
Helios: Hyperscale Indexing for the Cloud & Edge |
2020 |
VLDB |
5.8391363e-05 |
| 6,279 |
A Critical Analysis of Recursive Model Indexes |
2022 |
VLDB |
5.8090653e-05 |
| 6,402 |
A Unified Transferable Model for ML-Enhanced DBMS |
2022 |
CIDR |
5.7800842e-05 |
| 6,433 |
An Eight-Dimensional Systematic Evaluation of Optimized Search Algorithms on Modern Processors |
2018 |
VLDB |
5.7684496e-05 |
| 6,604 |
LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves |
2023 |
VLDB |
5.7196547e-05 |
| 6,622 |
Making In-Memory Learned Indexes Efficient on Disk |
2024 |
SIGMOD |
5.7136886e-05 |
| 6,680 |
Range Search over Encrypted Multi-Attribute Data |
2023 |
VLDB |
5.6950181e-05 |
| 6,712 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
5.6852386e-05 |