We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP), transforming words into dense vector representations that capture ...
Abstract: Representation learning for analog circuits is challenging due to the continuous electrical characteristics of devices, compared to the discrete states of digital circuits. While graph ...
Abstract: Most of the content on various social media platforms has enormous textual data. Before being used in machine learning models, this textual data must be transformed into numerical formats ...
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