ICML 2024 paper presenting a novel residual quantization approach using implicit neural codebooks for vector compression in high-dimensional similarity search, replacing traditional fixed codebooks with learned representations.
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Residual Quantization with Implicit Neural Codebooks
Proposes residual quantization with implicit neural codebooks as an alternative to traditional product quantization.
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