Learning ON Large Datasets Using Bit-String Trees
arxiv.org·1d
🗂️Vector Databases
Introduction to Artificial Neural Networks – Part 1 (2013)
theprojectspot.com·11h·
Discuss: Hacker News
🧠Neural Compression
Logistic vs SVM vs Random Forest: Which One Wins for Small Datasets?
machinelearningmastery.com·2d
📐Vector Dimensionality
k-NN Classification and Model Evaluation
dev.to·1d·
Discuss: DEV
📊Vector Quantization
Comparing Six Deep Learning Feature Extractors for CBIR Tasks
hackernoon.com·8h
📊Learned Metrics
End to End Autoencoder MLP Framework for Sepsis Prediction
arxiv.org·11h
🎵Audio ML
[P] aligning non-linear features with your data distribution
reddit.com·2d·
Discuss: r/MachineLearning
🗂️Vector Databases
Knowing or Guessing? Robust Medical Visual Question Answering via Joint Consistency and Contrastive Learning
arxiv.org·11h
🧮Kolmogorov Complexity
Why Stacking Sliding Windows Can't See Far
guangxuanx.com·10h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Supervised Learning: A Focus on Classification
dev.to·2d·
Discuss: DEV
🧠Learned Indexing
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·1d
⧗Information Bottleneck
Positional Embeddings in Transformers: A Math Guide to RoPE & ALiBi
towardsdatascience.com·1d
📐Geometric Hashing
Paying attention to feature distribution alignment (pun intended)
alexshtf.github.io·2d·
Discuss: Hacker News
📐Linear Algebra
Distance-informed Neural Processes
arxiv.org·11h
📊Quantization
Convergence and Generalization of Anti-Regularization for Parametric Models
arxiv.org·1d
📊Quantization
DualSparse-MoE: Coordinating Tensor/Neuron-Level Sparsity with Expert Partition and Reconstruction
arxiv.org·11h
⧗Information Bottleneck
How AI Retrieves Anatomical Structures Using Vector Databases
hackernoon.com·6h
🗂️Vector Search
Learning Interior Point Method for AC and DC Optimal Power Flow
arxiv.org·11h
🎯Proof Tactics
Large Language Model-Based Automatic Formulation for Stochastic Optimization Models
arxiv.org·1d
🔢Denotational Semantics
Fast and Accurate RFIC Performance Prediction via Pin Level Graph Neural Networks and Probabilistic Flow
arxiv.org·2d
📊Quantization