Visual tuning

BXB Yu, J Chang, H Wang, L Liu, S Wang… - ACM Computing …, 2024‏ - dl.acm.org
Fine-tuning visual models has been widely shown promising performance on many
downstream visual tasks. With the surprising development of pre-trained visual foundation …

Machine knowledge: Creation and curation of comprehensive knowledge bases

G Weikum, XL Dong, S Razniewski… - … and Trends® in …, 2021‏ - nowpublishers.com
Equip** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Detecting data errors: Where are we and what needs to be done?

Z Abedjan, X Chu, D Deng, RC Fernandez… - Proceedings of the …, 2016‏ - dl.acm.org
Data cleaning has played a critical role in ensuring data quality for enterprise applications.
Naturally, there has been extensive research in this area, and many data cleaning …

C-store: a column-oriented DBMS

M Stonebraker, DJ Abadi, A Batkin, X Chen… - … Databases Work: the …, 2018‏ - dl.acm.org
This paper presents the design of a read-optimized relational DBMS that contrasts sharply
with most current systems, which are write-optimized. Among the many differences in its …

Holodetect: Few-shot learning for error detection

A Heidari, J McGrath, IF Ilyas… - Proceedings of the 2019 …, 2019‏ - dl.acm.org
We introduce a few-shot learning framework for error detection. We show that data
augmentation (a form of weak supervision) is key to training high-quality, ML-based error …

The end of an architectural era: it's time for a complete rewrite

M Stonebraker, S Madden, DJ Abadi… - … Databases Work: the …, 2018‏ - dl.acm.org
In previous papers [SC05, SBC+ 07], some of us predicted the end of" one size fits all" as a
commercial relational DBMS paradigm. These papers presented reasons and experimental …

" One size fits all" an idea whose time has come and gone

M Stonebraker, U Çetintemel - … databases work: the pragmatic wisdom of …, 2018‏ - dl.acm.org
The last 25 years of commercial DBMS development can be summed up in a single phrase:"
One size fits all". This phrase refers to the fact that the traditional DBMS architecture …

Baran: Effective error correction via a unified context representation and transfer learning

M Mahdavi, Z Abedjan - Proceedings of the VLDB Endowment, 2020‏ - dl.acm.org
Traditional error correction solutions leverage handmaid rules or master data to find the
correct values. Both are often amiss in real-world scenarios. Therefore, it is desirable to …

OLTP through the looking glass, and what we found there

S Harizopoulos, DJ Abadi, S Madden… - Making Databases Work …, 2018‏ - dl.acm.org
Online Transaction Processing (OLTP) databases include a suite of features---disk-resident
B-trees and heap files, locking-based concurrency control, support for multi-threading---that …

RPT: relational pre-trained transformer is almost all you need towards democratizing data preparation

N Tang, J Fan, F Li, J Tu, X Du, G Li, S Madden… - arxiv preprint arxiv …, 2020‏ - arxiv.org
Can AI help automate human-easy but computer-hard data preparation tasks that burden
data scientists, practitioners, and crowd workers? We answer this question by presenting …