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🔢 Binary Embeddings

1-bit Quantization, Hamming Distance, Sparse Representations, Memory Efficiency

DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·10h
🧠Machine Learning
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
🧠 Solving LeetCode Until I Become Top 1% — Day `30`
dev.to·6h·
Discuss: DEV
📐Error Bounds
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·26m
📊Graph Databases
A Briefing on Logistic Regression
blog.engora.com·2h·
Discuss: Hacker News
🧠Machine Learning
Iterative Quantum Feature Maps
arxiv.org·10h
⚛️Quantum Circuits
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·19h
🤖Grammar Induction
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
dev.to·1d·
Discuss: DEV
📊Learned Metrics
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.org·1d
🌀Riemannian Computing
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·11h·
Discuss: Hacker News
📲Digitization
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·10h
🌀Riemannian Computing
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·43m·
Discuss: DEV
🧠Machine Learning
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Distribution of codewords on the faces of a hypercube and new combinatorial identities
arxiv.org·1d
⚽Sphere Packing
Quantum-Classical Hybrid Quantized Neural Network
arxiv.org·1d
📊Quantization
Cross-sensor self-supervised training and alignment for remote sensing
arxiv.org·10h
📊Learned Metrics
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation
arxiv.org·1d
⚡Modern Compression
How much slower is random access, really?
samestep.com·1d·
Discuss: Hacker News
📼Tape Encoding
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