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Found 2 papers, 1 papers with code
Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations
We present a framework for building unsupervised representations of entities and their compositions, where each entity is viewed as a probability distribution rather than a vector embedding.
Wasserstein is all you need
We propose a unified framework for building unsupervised representations of individual objects or entities (and their compositions), by associating with each object both a distributional as well as a point estimate (vector embedding).
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