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LumingSun

ML4DB-paper-list

Papers for database systems powered by artificial intelligence (machine learning for database).

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Created 2019-09-10 · Updated 2026-10-16 · #6260 today
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LumingSun/ML4DB-paper-list is ranked 6,260 with 790 stars.

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LumingSun/ML4DB-paper-list is ranked 6,260 among these 8 peers; aarora4/Awesome-Prediction-Market-Tools is ranked 6,288.

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Key parameters and specifications
Key parameters and specifications
ParameterValue
CategoryLists
SubcategoryPaper collections
Stars790
Forks93
Contributors19
Created date2019-09-10
Updated date2026-10-16
Stars in 1 day1
Stars in 7 days3
Rank6,260
Previous rank13,697
Rank change7,437
7-day stars rank7,227
Previous 7-day stars rank8,571
7-day stars rank change1,344
Total stars rank13,490
Previous total stars rank13,486
Total stars rank change-4
CountryChina
README summary

There are so many papers emerging about Text-To-SQL! Sadly I'm not an expert with the topic and can not tell the quality of the papers. Looking forward to contributions (PR, comment, discussion) about Text-To-SQL! Generating Training Data for ML-based Data Management (SIGMOD 2021) MB2: Decomposed Behavior Modeling for Self-Driving Database Management Systems (SIGMOD 2021) Towards instance-optimized data systems (VLDB 2021 from Tim Kraska) Make Your Database System Dream of Electric Sheep: Towards Self

-Driving Operation (VLDB 2021 from Andy Pavlo) openGauss: An Autonomous Database System (VLDB 2021 from Guoliang Li) Experience-Enhanced Learning: One Size Still does not Fit All in Automatic Database Management (arXiv 2021) Baihe: SysML Framework for AI-driven Databases (arXiv 2022) Survey on Learnable Databases: A Machine Learning Perspective (Big Data Research 2021) Database Optimizers in the Era of Learning (ICDE 2022) Machine Learning for Data Management: A System View (ICDE 2022) Tastes Great! High Performance and Accurate Training

Data Collection for Self-Driving Database Management Systems (SIGMOD 2022) SAM: Database Generation from Query Workload with Supervised Autoregressive Model (SIGMOD 2022) Source code Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data (SIGMOD 2023) Source code SageDB: An Instance-Optimized Data Analytics System (VLDB 2023) Towards Building Autonomous Data Services on Azure (SIGMOD-Companion ’23) Database Gyms (CIDR 2023) Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes (VLDB

2023) Machine Unlearning in Learned Databases: An Experimental Analysis (SIGMOD 2024) Source code PilotScope: Steering Databases with Machine Learning Drivers (VLDB 2024) Source code Machine Learning for Databases: Foundations, Paradigms, and Open problems (SIGMOD 2024) NeurDB: An AI-powered Autonomous Data System (arXiv 2024) GaussML: An End-to-End In-Database Machine Learning System (ICDE 2024) NeurDB: On the Design and Implementation of an AI-powered Autonomous Database (arXiv 2024) LLM for Data Management (VLDB 2024) Blueprinting the Cloud: Unifying

and Automatically Optimizing Cloud Data Infrastructures with BRAD (VLDB 2024) The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions (VLDB 2024) NeurBench: Benchmarking Learned Database Components with Data and Workload Drift Modeling (arXiv 2025) GaussMaster: An LLM-based Database Copilot System (arXiv 2025) D-Bot: An LLM-Powered DBA Copilot (SIGMOD-Companion 2025) Does A Fish Need a Bicycle? The Case for On-Chip NPUs in DBMS

(CIDR 2026) Towards Effective Orchestration of AI x DB Workloads (arXiv 2026) Training Data Collection Expand your Training Limits! Generating Training Data for ML-based Data Management (SIGMOD 2021) DataFarm: Farm Your ML-based Query Optimizer's Food! - Human-Guided Training Data Generation -. (CIDR 2022) Farming Your ML-based Query Optimizer's Food. (ICDE 2022, **best demo award**) Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems (VLDB 2024) Theoretical Analysis of Learned Database

Operations under Distribution Shift through Distribution Learnability (ICML 2024) Data Access Configuration Tuning SARD: A statistical approach for ranking database

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LumingSun/ML4DB-paper-list has 790 stars and 93 forks.

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LumingSun/ML4DB-paper-list is ranked 6,260.

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