Abstract: Quantization techniques compress data by reducing large datasets into smaller code vector sets. This study introduces a vector quantization method within the Kernel Affine Projection ...

Abstract: This paper presents Bottom-up Residual vector quantization for learned Image Compression (BRIC). This novel deep learning-based image compression method quantizes latent representations ...

An unofficial PyTorch implementation of "Autoregressive Speech Synthesis without Vector Quantization" paper. This repository provides a complete pipeline for training ...

Sensitivity analysis (and partial quantization) example is also provided. The figure below shows per-layer sensitivity analysis result of efficientnet_lite0 model ...

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...