Abstract: Optimization-based meta-learning methods for few-shot one-class classification (FS-OCC) aim to fine-tune a meta-trained model to classify the positive and negative samples using only a few ...
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Abstract: With the increasing complexity of the power system, and the growing global demand for electricity, accurate and effective forecasting of electricity load, electricity prices, and related ...
ABSTRACT: Digital news environments are increasingly shaped by algorithmic amplification and fragmented audience engagement, enabling the unchecked spread of misinformation. Among the rhetorical ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual category learning task exactly as well as lab animals, but even enabled the ...
Born in Taiwan, Huang moved to the U.S. at age 9. As a teenager, he took a job as a dishwasher at Denny's — a job he still references when explaining his leadership philosophy. "I used to be a ...
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