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Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality
In this work, we propose a novel meta learning based viewport prediction paradigm to alleviate the worst prediction performance and ensure the robustness of viewport prediction.
Identification of medical devices using machine learning on distribution feeder data for informing power outage response
Power outages caused by extreme weather events due to climate change have doubled in the United States in the last two decades.
An Overview of the Data-Loader Landscape: Comparative Performance Analysis
Dataloaders, in charge of moving data from storage into GPUs while training machine learning models, might hold the key to drastically improving the performance of training jobs.
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