🔍 MIN-Hash

Locality Sensitive Hashing, Jaccard Similarity, Duplicate Detection, Document Clustering

Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.ch·9h
🗃️Database Storage
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·22h·
Discuss: Hacker News
🔍Information Retrieval
Stable and consistent density-based clustering via multiparameter persistence
arxiv.org·1d
🕳️Persistent Homology
Join me if you can: ClickHouse vs. Databricks & Snowflake - Part 2
clickhouse.com·18h·
Discuss: Hacker News
🧠Query Planners
Dual-Hierarchy Labelling: Scaling Up Distance Queries on Dynamic Road Networks
arxiv.org·1d
📏Range Queries
Shrinking the Generation-Verification Gap with Weak Verifiers
arxiv.org·1d
🧪CBOR Fuzzing
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)
dev.to·1d·
Discuss: DEV
🏺ZIP Archaeology
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
Understanding Sorting Algorithms: From Basics to Advanced Concepts
dev.to·1d·
Discuss: DEV
🌳Trie Structures
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation
arxiv.org·14h
🧠Machine Learning
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·22h
🤖Grammar Induction
BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement
arxiv.org·1d
📐Projective Geometry
Weakly Private Information Retrieval from Heterogeneously Trusted Servers
arxiv.org·2d
📊Compression Proofs
🧠 Solving LeetCode Until I Become Top 1% — Day `30`
dev.to·10h·
Discuss: DEV
📐Error Bounds
Fast Capture of Cell-Level Provenance in Numpy
arxiv.org·1d
🔗Data Provenance
Flame Graph Performance Truth Analysis（1750839255230100）
dev.to·9h·
Discuss: DEV
⚡Performance Tools
Unscrambling disease progression at scale: fast inference of event permutations with optimal transport
arxiv.org·14h
🧠Machine Learning
Fully lifted \emph{blirp} interpolation -- a large deviation view
arxiv.org·14h
🌀Fractal Compression
A family of graph GOSPA metrics for graphs with different sizes
arxiv.org·1d
🔗Graph Isomorphism