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Research map / Learning theory and algorithms / Prediction and decision losses

Anisotropic Additive Quantization for Fast Inner Product Search

AAAI 2022 · Learning theory and algorithms › Prediction and decision losses · approach: Approximate nearest neighbor indexing · 12 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use anisotropic additive quantization instead of ScaNNMIPS quantization · LastFM, EchoNestrecall@THelped
Use anisotropic additive quantization instead of ScaNNMIPS quantization · Glove1.2Mrecall@TNo clear effect
Use anisotropic additive quantization instead of SIMPLE-LSH and ip-NSWMIPS search · LastFM, EchoNest, Glove1.2Mrecall@THelped
Use anisotropic additive quantization instead of ScaNNMIPS quantization · LastFMscore-aware lossHelped
Use anisotropic additive quantization instead of ScaNNMIPS quantization · LastFMrelative error of true Top-1 inner-product estimationHelped
Use anisotropic additive quantization instead of ScaNN with the same inverted indexing structureMIPS search · LastFMRecall10@100Helped
Use anisotropic additive quantization instead of ScaNNMIPS search with inverted indexing · Glove1.2Msearch timeNo clear effect

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