Google llc (20250131932). GENERATING CODED DATA REPRESENTATIONS USING NEURAL NETWORKS AND VECTOR QUANTIZERS
GENERATING CODED DATA REPRESENTATIONS USING NEURAL NETWORKS AND VECTOR QUANTIZERS
Organization Name
Inventor(s)
Marco Tagliasacchi of Ruvigliana CH
GENERATING CODED DATA REPRESENTATIONS USING NEURAL NETWORKS AND VECTOR QUANTIZERS
This abstract first appeared for US patent application 20250131932 titled 'GENERATING CODED DATA REPRESENTATIONS USING NEURAL NETWORKS AND VECTOR QUANTIZERS
Original Abstract Submitted
methods, systems and apparatus, including computer programs encoded on computer storage media. according to one aspect, there is provided a method comprising: receiving a new input; processing the new input using an encoder neural network to generate a feature vector representing the new input; and generating a coded representation of the feature vector using a sequence of vector quantizers that are each associated with a respective codebook of code vectors, wherein the coded representation of the feature vector identifies a plurality of code vectors, including a respective code vector from the codebook of each vector quantizer, that define a quantized representation of the feature vector.