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Proxy Synthesis exploits synthetic classes and improves generalization by considering class relations and obtaining smooth decision boundaries. Synthetic classes mimic unseen classes during training ...
Abstract: Power quality issues are required to be addressed properly in forthcoming era of smart meters, smart grids and increase in renewable energy integration. In this paper, Deep Auto-encoder (DAE ...
Multiclass classification is of great interest for various applications, for example, it is a common task in computer vision, where one needs to categorize an image into three or more classes. Here we ...
Emerging two-terminal nanoscale memory devices, known as memristors, have demonstrated great potential for implementing energy-efficient neuro-inspired computing architectures over the past decade. As ...
ALBERT is a streamlined version of BERT, significantly reducing its size while preserving performance. The architecture of ALBERT utilises innovative techniques to decrease parameters by up to 90%.
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