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🌳 Huffman Trees

Optimal Codes, Binary Trees, Frequency Analysis, Prefix Codes

Proof Complexity 2025
cstheory-events.org·2d
🎯Performance Proofs
Vector Database from a Beginners POV
mrinalxdev.github.io·6d·
Discuss: Hacker News
🗂️Vector Databases
florinpop17/app-ideas
github.com·1d
📝Concrete Syntax
A non-anthropomorphized view of LLMs
addxorrol.blogspot.com·3d·
Discuss: Lobsters, Hacker News
💻Local LLMs
Early Signs of Steganographic Capabilities in Frontier LLMs
arxiviq.substack.com·1d·
Discuss: Substack
💻Local LLMs
The Crucial Role of NUMA Awareness in High-Performance Deep Learning
towardsdatascience.com·5h
📊Performance Profiling
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study
arxiv.org·1d
🔎OSINT Techniques
Ensemble-Based Deepfake Detection using State-of-the-Art Models with Robust Cross-Dataset Generalisation
arxiv.org·1d
👁️OCR Verification
Polyadic encryption
arxiv.org·1d
🌊Stream Ciphers
What Really Is Machine Learning? (And Why Your Phone Knows You Better Than Your Best Friend)
dev.to·1d·
Discuss: DEV
🧠Machine Learning
Error Exponents for Quantum Packing Problems via An Operator Layer Cake Theorem
arxiv.org·1d
⚛️Quantum Compression
Understanding Everything as Code: A Taxonomy and Conceptual Model
arxiv.org·2d
🔢Denotational Semantics
The Rule(s) of Three and the Probability of Nothing
pballew.blogspot.com·5h·
Discuss: www.blogger.com
🔲Cellular Automata
Representing Guardedness in Call-by-Value and Guarded Parametrized Monads
arxiv.org·2d
🧮Algebraic Archives
Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models
arxiv.org·6h
🔲Cellular Automata
EdgeSRIE: A hybrid deep learning framework for real-time speckle reduction and image enhancement on portable ultrasound systems
arxiv.org·2d
⧗Information Bottleneck
Universal Embeddings of Tabular Data
arxiv.org·1d
🗂️Vector Databases
RabakBench: Scaling Human Annotations to Construct Localized Multilingual Safety Benchmarks for Low-Resource Languages
arxiv.org·1d
🎙️Whisper
Entropy-Memorization Law: Evaluating Memorization Difficulty of Data in LLMs
arxiv.org·1d
🧠Intelligence Compression
On Jailbreaking Quantized Language Models Through Fault Injection Attacks
arxiv.org·2d
🔧Binary Parsers
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