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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.
Anytime Neural Architecture Search on Tabular Data
This transition demands an efficient and responsive anytime NAS approach that is capable of returning current optimal architectures within any given time budget while progressively enhancing architecture quality with increased budget allocation.
SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysis
Specifically, in terms of usability, it is demanding for non-experts to implement deep learning models, obtain the right settings for the entire machine learning pipeline, manage models and datasets, and exploit external data sources all together.
