📊 IVF Indexes - emschwartz · Scour

Evolutionary fine tuning of quantized convolution-based deep learning models 🧠LLM Inference

Qdrant 1.18 - TurboQuant 🎯Qdrant

qdrant.tech·1d

Fitting Multilinear Polynomials for Logic Gate Networks 📊Vector Databases

Pretraining large language models with MXFP4 🔤Tokenization

RateQuant: Optimal Mixed-Precision KV Cache Quantization via Rate-Distortion Theory 🔬RaBitQ

OSAQ: Outlier Self-Absorption for Accurate Low-bit LLM Quantization 🔬RaBitQ

Fitting Is Not Enough: Smoothness in Extremely Quantized LLMs 🧠LLM Inference

Amortized-Precision Quantization for Early-Exit Vision Transformers 🎯Vector Quantization

RDKV: Rate-Distortion Bit Allocation for Joint Eviction and Quantization of the KV Cache 🔬RaBitQ

Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation 🔬RaBitQ

Quantizing With Randomized Hadamard Transforms: Efficient Heuristic Now Proven 🔬RaBitQ

HeadQ: Model-Visible Distortion and Score-Space Correction for KV-Cache Quantization 🔬RaBitQ

eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization 🗜️Vector Compression

Quantized Probabilistic AI for Gear Fault Diagnosis in Motor Drives 🧠LLM Inference

Hardware-Aware Neural Feature Extraction for Resource-Constrained Devices 📦Batch Embeddings

EdgeRazor: A Lightweight Framework for Large Language Models via Mixed-Precision Quantization-Aware Distillation 🔢BitNet

Topology-Constrained Quantized nnUNet for Efficient and Anatomically Accurate 3D Tooth Segmentation 0Binary Vector Embeddings

PACZero: PAC-Private Fine-Tuning of Language Models via Sign Quantization 🔢BitNet

When Quantization Is Free: An int4 KV Cache That Outruns fp16 on Apple Silicon 🖥️Hardware Architecture

Saliency-Aware Regularized Quantization Calibration for Large Language Models 🧠LLM Inference

Log in to enable infinite scrolling