Vector Quantization

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Scoured 10 posts in 16.5 ms

ASH: Asymmetric Scalar Hashing With Learned Dimensionality Reduction for High-Fidelity Vector Quantization

 📐Vector Dimensionality  Content type: Academic
arxiv.org·

The Most Emotive Foundation Models for Voice

 🧮Vector Embeddings  Content type: Blog
misolabs.ai··Hacker News

Show HN: MLL – image compression that runs well enough on DOS

 📊Rate-Distortion Theory  Content type: Code
github.com··Hacker News
Less-relevant results

Learned Subspace Compression for Communication-Efficient Pipeline Parallelism

 🎧Learned Audio  Content type: Academic
arxiv.org·

Next-Token Prediction Learns Generalisable Representations of Sleep Physiology

 🧠Machine Learning  Content type: Academic
arxiv.org·

wallidsaydi-creator/hom-local: HOM Local — open-source local-first AI memory kernel

 💻Operating System, OS  Content type: Code
github.com··Hacker News

ColBERTSaR: Sparsified ColBERT Index via Product Quantization

 🔍BitFunnel  Content type: Academic
arxiv.org·

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection

 💻Local LLMs  Content type: Academic
arxiv.org·

EEGDancer: Dynamic Emotion Latent Space Masked Modeling with Reinforcement Learning for EEG Continuous Emotion Prediction

 🧠Learned Codecs  Content type: Academic
arxiv.org·

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