Abstract: Analog computing-in-memory (ACIM) has garnered widespread attention due to its advantage of high energy efficiency. However, it faces large power and hardware costs to handle sophisticated ...
Abstract: Label distribution learning (LDL) provides a robust framework for classification tasks exhibiting intrinsic label ordinality and ambiguity, yet its application to sentiment analysis remains ...
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