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Found 4 papers, 1 papers with code
Daily Physical Activity Monitoring -- Adaptive Learning from Multi-source Motion Sensor Data
In healthcare applications, there is a growing need to develop machine learning models that use data from a single source, such as that from a wrist wearable device, to monitor physical activities, assess health risks, and provide immediate health recommendations or interventions.
Language Model Prompt Selection via Simulation Optimization
We propose sequentially selecting the prompt for evaluation based on this constructed surrogate model.
Multi-Facet Clustering Variational Autoencoders
Work in deep clustering focuses on finding a single partition of data.
Adaptive Transfer Learning of Multi-View Time Series Classification
In this paper, we first proposed a general adaptive transfer learning framework for multi-view time series data, which shows strong ability in storing inter-view importance value in the process of knowledge transfer.
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