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🧠 Learned Compression

Neural Codecs, Deep Learning, Entropy Models, Rate-Distortion

UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Kernel Limit of Recurrent Neural Networks Trained on Ergodic Data Sequences
arxiv.org·1d
🧠Neural Codecs
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·17h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
Google/Videoprism
huggingface.co·19h·
Discuss: Hacker News
📊Learned Metrics
LongWriter-Zero: Mastering Ultra-Long Text Generation via Reinforcement Learning
arxiv.org·1d
📝Concrete Syntax
Mu language model and how it enabled the agent in Windows Settings
blogs.windows.com·2d·
Discuss: Hacker News
🎙️Whisper
Apple Research just unearthed a forgotten AI technique and is using it to generate images
9to5mac.com·2d·
Discuss: Hacker News
🗜️LZW Variants
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
🧠Machine Learning
Learning High-Quality Latent Representations for Anomaly Detection and Signal Integrity Enhancement in High-Speed Signals
arxiv.org·1d
🧠Machine Learning
The first CNN for playing Scrabble – a game of imperfect information
cesardelsolar.com·2d·
Discuss: Hacker News
🔲Cellular Automata
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·14h
💻Local LLMs
Episode-specific Fine-tuning for Metric-based Few-shot Learners with Optimization-based Training
arxiv.org·1d
📊Learned Metrics
Predicting E-commerce Purchase Behavior using a DQN-Inspired Deep Learning Model for enhanced adaptability
arxiv.org·1d
🧠Machine Learning
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·2d·
Discuss: r/MachineLearning
🌊Streaming Compression
Understanding Backpropagation and Gradient Descent in Neural Networks
dev.to·2d·
Discuss: DEV
🧠Neural Codecs
ABC: Adaptive BayesNet Structure Learning for Computational Scalable Multi-task Image Compression
arxiv.org·6d
🧠Neural Compression
MDeRainNet: An Efficient Macro-pixel Image Rain Removal Network
arxiv.org·1d
👁️Perceptual Hashing
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
arxiv.org·1d
💻Local LLMs
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