Efficient Algorithms for Vector Similarities
A key cog in machine learning is the humble embedding: vector representations of real world objects such as text, images, graphs, or molecules whose geometric similarities capture intuitive notions of semantic similarities. It is thus common to curate massive datasets of embeddings by inferencing on...
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| Format: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online Access: | https://hdl.handle.net/1721.1/156582 |