🧠 Learned Indexing

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

Overtuning in Hyperparameter Optimization
arxiv.org·15h
🧠Machine Learning
🔍 Find All K-Distant Indices in an Array – LeetCode 2200 (C++ | Python | JavaScript)
dev.to·1d·
Discuss: DEV
📊APL Heritage
Driving cost-efficiency and speed in claims data processing with Amazon Nova Micro and Amazon Nova Lite
aws.amazon.com·2h
🌊Stream Processing
The Interactive Handbook on Data Structures and Algorithms
cartesian.app·1d·
Discuss: Lobsters, Hacker News, Hacker News
🌳Trie Structures
Granular-Ball-Induced Multiple Kernel K-Means
arxiv.org·1d
🌀Differential Geometry
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
Machine Learning Fundamentals: active learning with python
dev.to·2h·
Discuss: DEV
🧠Machine Learning
Computing Betti tables and minimal presentations of zero-dimensional persistent homology
arxiv.org·1d
🕸️Algebraic Topology
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·15h
🕸️Graph Embeddings
Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
arxiv.org·1d
🔍Information Retrieval
What LLMs Know About Their Users
schneier.com·8h·
Discuss: Hacker News
💻Local LLMs
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·15h
🧠Intelligence Compression
Using Wavelets and Clustering to Predict Odd or Even Numbers: An Overengineered Approach with Pretty (But Confusing) Plots
dev.to·5h·
Discuss: DEV
🧠Machine Learning
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·15h
🌀Riemannian Computing
ANOVA-boosting for Random Fourier Features
arxiv.org·15h
🧠Machine Learning
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
💻Local LLMs
Solving LinkedIn Queens Using Haskell
imiron.io·1d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·1d
🔤Character Classification
Learning from Anatomy: Supervised Anatomical Pretraining (SAP) for Improved Metastatic Bone Disease Segmentation in Whole-Body MRI
arxiv.org·15h
🧠Machine Learning
h-calibration: Rethinking Classifier Recalibration with Probabilistic Error-Bounded Objective
arxiv.org·1d
🧠Machine Learning