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📊 Rate-Distortion Theory

Lossy Compression Bounds, Information Bottleneck, Perceptual Coding, Quality Metrics

Survey Statistics: Poststratification ?
statmodeling.stat.columbia.edu·22h
🎯Arithmetic Coding Theory
The dynamics and geometry of choice in the premotor cortex
nature.com·18h
🔲Cellular Automata
HunyuanVideo-Avatar: The Breakthrough That’s Revolutionizing AI-Driven Human Animation
dev.to·5h·
Discuss: DEV
🎬AV1 Encoding
A Briefing on Logistic Regression
blog.engora.com·6h·
Discuss: Hacker News
🧠Machine Learning
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·2d·
Discuss: r/MachineLearning
🌊Streaming Compression
Choice of Scoring Rules for Indirect Elicitation of Properties with Parametric Assumptions
arxiv.org·1d
👑Coq Tactics
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
⚡Modern Compression
From Zero to One: A Complete Guide to Implementing WeChat Sharing in HarmonyOS
dev.to·10h·
Discuss: DEV
⚡Modern Compression
GLIMPSE: Gradient-Layer Importance Mapping for Prompted Visual Saliency Explanation for Generative LVLMs
arxiv.org·14h
📊Learned Metrics
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·15h·
Discuss: Hacker News
📲Digitization
MetaQAP -- A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
arxiv.org·2d
📊Learned Metrics
Deep Dive into SVT-AV1's Evolution (Part 1)
wiki.x266.mov·4d·
Discuss: Lobsters, Hacker News
🎬AV1 Encoding
Visual hallucination detection in large vision-language models via evidential conflict
arxiv.org·14h
📊Learned Metrics
MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
arxiv.org·1d
👁️Perceptual Hashing
Algorithm Complexity: Time, Space, and Big-O Notation
dev.to·8h·
Discuss: DEV
🧮Kolmogorov Complexity
Learning to assess subjective impressions from speech
arxiv.org·14h
👁️Perceptual Coding
AMF-MedIT: An Efficient Align-Modulation-Fusion Framework for Medical Image-Tabular Data
arxiv.org·14h
🤖Advanced OCR
LVPNet: A Latent-variable-based Prediction-driven End-to-end Framework for Lossless Compression of Medical Images
arxiv.org·1d
🧠Neural Compression
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge
arxiv.org·2d
📊Learned Metrics
Analysis of Scheduling schemes based on Carrier Aggregation in LTE-Advanced and their improvement
arxiv.org·14h
📡Network Calculus
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