Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data

11 October 2022

Papers citing "Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data"

6 / 6 papers shown

Title
In-Context Adaptation to Concept Drift for Learned Database Operations Jiaqi Zhu Shaofeng Cai Yanyan Shen Gang Chen Fang Deng Beng Chin Ooi VLM 47 0 0 07 May 2025
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database Zhanhao Zhao Shaofeng Cai Haotian Gao Hexiang Pan Siqi Xiang ... Gang Chen Beng Chin Ooi Yanyan Shen Yuncheng Wu Meihui Zhang 35 2 0 06 Aug 2024
One Model to Rule them All: Towards Zero-Shot Learning for Databases Benjamin Hilprecht Carsten Binnig VLM 24 33 0 03 May 2021
Data Synthesis based on Generative Adversarial Networks Noseong Park Mahmoud Mohammadi Kshitij Gorde S. Jajodia Hongkyu Park Youngmin Kim 119 468 0 09 Jun 2018
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks E. Choi Siddharth Biswal B. Malin J. Duke Walter F. Stewart Jimeng Sun SyDa GAN 156 569 0 19 Mar 2017
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 78 390 0 20 Oct 2016