The University of Washington's database group aims at broadening the focus of database and data management techniques beyond their traditional scope. We do both theoretical and systems work in areas such as probabilistic databases, stream processing, sensor-based monitoring, databases and the web, XML, image/video data management, data management for machine learning, ubiquitous computing, data integration, and data mining.
‘VOCAL: Video Organization and Interactive Compositional AnaLytics (Vision Paper)’ has been accepted at CIDR 2022. Congrats Maureen Daum*, Enhao Zhang*, Dong He, Magdalena Balazinska, Brandon Haynes, Ranjay Krishna, Apryle Craig, Aaron Wirsing! *Both authors contributed equally to the paper.
‘WRENCH: A Comprehensive Benchmark for Weak Supervision’ has been accepted at NeurIPS 2021 Dataset & Benchmark Track. Congrats Jieyu Zhang and Alex Ratner!
‘DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation’ has been accepted at VLDB 2022. Congrats Dong He, Maureen Daum, Walter Cai, Magdalena Balazinska!
‘GeCo: Quality Counterfactual Explanations in Real Time’ has been accepted at VLDB 2021. Congrats Maximilian Schleich, Zixuan Geng, Yihong Zhang, and Dan Suciu!
‘TASM: A Tile-Based Storage Manager for Video Analytics’ has been accepted to ICDE 2021. Congrats Maureen Daum, Brandon Haynes, Dong He, Amrita Mazumdar, Magdalena Balazinska!
On the Tractability of SHAP explanations has been accepted to AAAI 2021, winning a Distinguished Paper award! Congrats to the authors: Guy Van den Broeck (UCLA), Anton Lykov, Maximilian Schleich, and Dan Suciu.