Abstract: Vector-Quantization (VQ) based discrete generative models are widely used to learn powerful high-quality (HQ) priors for blind image restoration (BIR). In this paper, we diagnose the ...
Qdrant is launching version 1.18 of its platform, introducing TurboQuant, a new quantization method developed by Google Research. According to the company, TurboQuant applies a fast Hadamard rotation ...
A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically that it could weaken demand for NAND flash storage, one of Micron ...
Large language models cache key (K) and value (V) tensors for every previously seen token — the "KV cache." At long context lengths this cache dominates GPU memory. Recent work (Google's TurboQuant, ...
Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
Abstract: In this paper, we propose two non-uniform quantization (NUQ) codebook-based hybrid precoding schemes for two main hybrid precoding implementations, i.e., the full-connected structure and the ...
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