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Found 4 papers, 0 papers with code
NeurDB: An AI-powered Autonomous Data System
In the wake of rapid advancements in artificial intelligence (AI), we stand on the brink of a transformative leap in data systems.
Powering In-Database Dynamic Model Slicing for Structured Data Analytics
This SQL-aware MoE technique scales up the modeling capacity, enhances effectiveness, and preserves efficiency by activating only necessary experts via the gating network during inference.
Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels
Conventional multi-label classification (MLC) methods assume that all samples are fully labeled and identically distributed.
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis
In this paper, we propose a universal COhort Representation lEarning (CORE) framework to augment EHR utilization by leveraging the fine-grained cohort information among patients.
