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🧠 Neural Compression

Learned Codecs, AI Compression, Rate-Distortion Theory, Entropy Models

Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers
arxiv.org·14h
📊Learned Metrics
Benchmarking Video Encoders for LiveKit WebRTC Screen Sharing
gethopp.app·1d·
Discuss: Hacker News
🎥Streaming Codecs
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·17h·
Discuss: Hacker News
🧮Kolmogorov Complexity
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
Towards Deeper GCNs: Alleviating Over-smoothing via Iterative Training and Fine-tuning
arxiv.org·1d
📊Learned Metrics
How Text Diffusion Works
pierce.dev·1d·
Discuss: Hacker News
📊Quantization
Understanding Backpropagation and Gradient Descent in Neural Networks
dev.to·2d·
Discuss: DEV
🧠Neural Codecs
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
Oblique Strategies for Vibe Coding
useyourexperience.com·1d·
Discuss: Hacker News
🇸🇪Nordic Algorithms
FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
arxiv.org·1d·
Discuss: Hacker News
🧠Neural Codecs
Efficient Transformations in Deep Learning Convolutional Neural Networks
arxiv.org·2d
🧠Learned Compression
Quantum-Classical Hybrid Quantized Neural Network
arxiv.org·1d
📊Quantization
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·15h·
Discuss: Hacker News
📲Digitization
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·14h
🌀Fractal Compression
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
🧠Machine Learning
Splitformer: An improved early-exit architecture for automatic speech recognition on edge devices
arxiv.org·1d
🌊Streaming Compression
NAADA: A Noise-Aware Attention Denoising Autoencoder for Dental Panoramic Radiographs
arxiv.org·14h
🤖Advanced OCR
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.to·9h·
Discuss: DEV
⚡Modern Compression
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·1d
⧗Information Bottleneck
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