| 3,153 |
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud |
2019 |
VLDB |
7.4706916e-05 |
| 3,241 |
A Learned Query Rewrite System using Monte Carlo Tree Search |
2022 |
VLDB |
7.32744e-05 |
| 3,666 |
The Dawn of Natural Language to SQL: Are We Fully Ready? |
2024 |
VLDB |
6.8606092e-05 |
| 3,729 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
6.8078013e-05 |
| 4,103 |
GoodCore: Data-effective and Data-efficient Machine Learning through Coreset Selection over Incomplete Data |
2023 |
SIGMOD |
6.4460899e-05 |
| 4,543 |
FACE: A Normalizing Flow based Cardinality Estimator |
2022 |
VLDB |
6.0953507e-05 |
| 4,829 |
Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks |
2021 |
SIGMOD |
5.8890126e-05 |
| 5,254 |
CDB: A Crowd-Powered Database System |
2018 |
VLDB |
5.5991922e-05 |
| 5,289 |
LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning |
2022 |
SIGMOD |
5.5790771e-05 |
| 5,369 |
Cost-Effective Crowdsourced Entity Resolution: A Partial-Order Approach |
2016 |
SIGMOD |
5.5436995e-05 |
| 5,386 |
Selective Data Acquisition in the Wild for Model Charging |
2022 |
VLDB |
5.5346315e-05 |
| 5,965 |
Automatic Data Acquisition for Deep Learning |
2021 |
VLDB |
5.2476363e-05 |
| 6,570 |
Domain Adaptation for Deep Entity Resolution |
2022 |
SIGMOD |
5.0017341e-05 |
| 7,180 |
Coresets over Multiple Tables for Feature-rich and Data-efficient Machine Learning |
2023 |
VLDB |
4.8032775e-05 |
| 7,580 |
Human-in-the-loop Outlier Detection |
2020 |
SIGMOD |
4.7023767e-05 |
| 7,586 |
LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes |
2024 |
VLDB |
4.700127e-05 |
| 8,121 |
LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes |
2024 |
VLDB |
4.5771143e-05 |
| 8,263 |
Learned Data-aware Image Representations of Line Charts for Similarity Search |
2023 |
SIGMOD |
4.5414364e-05 |
| 8,401 |
DADER: Hands-Off Entity Resolution with Domain Adaptation |
2022 |
VLDB |
4.5176737e-05 |
| 8,828 |
HAIPipe: Combining Human-generated and Machine-generated Pipelines for Data Preparation |
2023 |
SIGMOD |
4.4364918e-05 |
| 9,152 |
Doctopus: Budget-aware Structural Table Extraction from Unstructured Documents |
2025 |
VLDB |
4.380727e-05 |
| 9,215 |
PACE: Poisoning Attacks on Learned Cardinality Estimation |
2024 |
SIGMOD |
4.3679174e-05 |
| 9,224 |
VisClean: Interactive Cleaning for Progressive Visualization |
2020 |
VLDB |
4.3657563e-05 |
| 9,477 |
OIE: An Interpretable System for Outlier Explanation and Summarization |
2025 |
SIGMOD |
4.3300131e-05 |
| 9,481 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
4.3300131e-05 |
| 10,239 |
BRIEF: Bi-level Coreset Selection for Efficient Instruction Tuning in LLMs |
2026 |
VLDB |
4.1905499e-05 |
| 10,301 |
LEAD: Iterative Data Selection for Efficient LLM Instruction Tuning |
2026 |
VLDB |
4.1905499e-05 |
| 10,448 |
Doctopus: A System for Budget-aware Structural Data Extraction from Unstructured Documents |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,537 |
Two Birds with One Stone: Efficient Deep Learning over Mislabeled Data through Subset Selection |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,758 |
QUEST: Query Optimization in Unstructured Document Analysis |
2025 |
VLDB |
4.1905499e-05 |
| 10,841 |
Natural Language to SQL: State of the Art and Open Problems |
2025 |
VLDB |
4.1905499e-05 |
| 11,003 |
MisDetect: Iterative Mislabel Detection using Early Loss |
2024 |
VLDB |
4.1905499e-05 |
| 11,586 |
Interactively Discovering and Ranking Desired Tuples without Writing SQL Queries |
2020 |
SIGMOD |
4.1905499e-05 |
| 11,796 |
CDB: Optimizing Queries with Crowd-Based Selections and Joins |
2017 |
SIGMOD |
4.1905499e-05 |
| 13,148 |
DocDB: A Database for Unstructured Document Analysis |
2025 |
VLDB |
- |