Predefined vector systems structure neural network latent spaces to allow O(1) label prediction via index searches on embedding vectors, delivering up to 11.6x speedup on multimillion-class tasks while preserving accuracy and enabling new-class detection.
Series of quasi-uniform scatterings with fast search, root systems and neural network classifications
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Using predefined vector systems to speed up neural network multimillion class classification
Predefined vector systems structure neural network latent spaces to allow O(1) label prediction via index searches on embedding vectors, delivering up to 11.6x speedup on multimillion-class tasks while preserving accuracy and enabling new-class detection.