🧠 Learned Indexing

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

Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🔍Semantic Search
Compressed data structures for Heegaard splittings
arxiv.org·7h
🕳️Persistent Homology
A Minimal DDPM
github.com·9h·
Discuss: Hacker News
🧠Machine Learning
Binary Search in a 2D Matrix
mmhaskell.com·2d
📐Error Bounds
Everything You Need to Know About Google’s AI Mode (and How to Adjust Your Content Strategy)
hackernoon.com·16h
📊Feed Optimization
Machine Learning Fundamentals: decision trees with python
dev.to·18h·
Discuss: DEV
🔗Topological Sorting
Using DuckDB for Embeddings and Vector Search – Random Thoughts
blog.brunk.io·2d
🗂️Vector Databases
PLEX: Perturbation-free Local Explanations for LLM-Based Text Classification
arxiv.org·7h
💻Local LLMs
Finding Order-Preserving Subgraphs
arxiv.org·7h
🕸️Graph Algorithms
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·7h
🧠Machine Learning
Diffusion Decoding for Peptide De Novo Sequencing
arxiv.org·7h
🧮Kolmogorov Complexity
COLIBRI Fuzzy Model: Color Linguistic-Based Representation and Interpretation
arxiv.org·7h
🌈Color Science
How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes
towardsdatascience.com·7h
🧠Intelligence Compression
Graph Convolutional Branch and Bound
arxiv.org·2d
🧮Vector Embeddings
Translation using deep neural networks – Transformer
aamster.github.io·1d·
Discuss: Hacker News
🧠Neural Codecs
Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale
arxiv.org·1d
📋Document Grammar
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering
arxiv.org·1d
🤖Grammar Induction
Show HN: Context Rot Technical Report – How Input Length Impacts LLM Performance
research.trychroma.com·1d·
Discuss: Lobsters, Hacker News
🔍Information Retrieval
CompassJudger-2: Towards Generalist Judge Model via Verifiable Rewards
arxiv.org·1d
📊Learned Metrics
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·1h·
Discuss: r/MachineLearning
📊Learned Metrics