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Unsupervised alignment of embeddings with Wasserstein procrustes
This study introduces a new method for unsupervised alignment of embeddings with Wasserstein procrustes. -
Discovering Universal Geometry in Embeddings with ICA
This study utilizes Independent Component Analysis (ICA) to unveil a consistent semantic structure within embeddings of words or images.