🧠 Learned Indexing

ML-assisted Data Structures, Neural B-trees, Database Optimization, Adaptive Structures

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OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average
arxiv.org·9h
🎛️Feed Filtering
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A Simple Recommendation System
angelocortez.com·9h·
Discuss: Hacker News
🗂️Vector Search
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News for November 2025
ptreview.sublinear.info·22h
🎯Performance Proofs
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📌 10 Things You Must Know Before Building Your Language Model from Scratch 📌
dev.to·12h·
Discuss: DEV
📊Quantization
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Adam Klivans Wins Test of Time Award at FOCS 2025
cs.utexas.edu·17h
🧠Machine Learning
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Why Smarter Search Optimization Is Becoming a Must for Growing Brands
open.forem.com·4h·
Discuss: DEV
📊Feed Optimization
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The Machine Learning “Advent Calendar” Day 15: SVM in Excel
towardsdatascience.com·18h
🧠Machine Learning
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Neo, 6 years and 600 citations later
rmarcus.info·1d
🚀Query Optimization
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Sharpness-aware Dynamic Anchor Selection for Generalized Category Discovery
arxiv.org·9h
📊Learned Metrics
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Statistical Learning Theory and ChatGPT
kamalikachaudhuri.substack.com·15h·
Discuss: Substack
🧠Machine Learning
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Can Graphs Improve Tabular Foundation Models?
arxiv.org·9h
🧠Learned Indexes
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Unique security and privacy threats of large language models — a comprehensive survey
gwolf.org·18h
💻Local LLMs
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Hyper-Minrank: A Unified Hypergraph Characterization of Multi-Sender Index Coding
arxiv.org·9h
🧮Kolmogorov Complexity
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Quanvolutional Neural Networks for Spectrum Peak-Finding
arxiv.org·9h
🌈Spectral Audio
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PostgreSQL extension for BM25 relevance-ranked full-text search
github.com·7h·
Discuss: Hacker News
📇Indexing Strategies
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No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction
arxiv.org·9h
📊Feed Optimization
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The Data Detox: Training Yourself for the Messy, Noisy, Real World
kdnuggets.com·21h
🧪Data science
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Applying data loading best practices for ML training with Amazon S3 clients
aws.amazon.com·20h
🌊Streaming Algorithms
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Why Regex Fails at Google Taxonomy: Building a 98% Accurate RAG Agent
dev.to·1d·
Discuss: DEV
🔍RegEx Engines
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Supervised Contrastive Frame Aggregation for Video Representation Learning
arxiv.org·9h
📊Learned Metrics
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