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NLP for Mapping Physics Research with Matteo Chinazzi - #353

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Exploring the Starspace Algorithm for Topic Embedding

This chapter explores the Starspace algorithm, highlighting its unique approach to creating embeddings through optimization rather than neural networks. It discusses the incorporation of loss functions and sampling techniques to effectively train the model and improve relationships between research topics.

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