🐿️ ScourBrowse
LoginSign Up
You are offline. Trying to reconnect...
Copied to clipboard
Unable to share or copy to clipboard
🧠 Machine Learning

Information Theory, Compression Bounds, Feature Learning, Neural Networks

Machine Learning Fundamentals: model overfitting
dev.to·9h·
Discuss: DEV
🎛️Feed Filtering
Cross-Entropy. Intuition and Applications
hclimente.eu·2h·
Discuss: Hacker News
📈Entropy Estimation
Accelerating SGDM via Learning Rate and Batch Size Schedules: A Lyapunov-Based Analysis
arxiv.org·22h
🧮Kolmogorov Bounds
Open Sourced: ML Interview Questions and Job List (Ranked by Comp and Culture)
github.com·1d·
Discuss: Hacker News
📊Quantization
SAT Requires Exhaustive Search
link.springer.com·2d·
Discuss: Hacker News
🧮Kolmogorov Complexity
Why Computer Science Is No Good, Redux
cacm.acm.org·1d
🎯Performance Proofs
Understanding Information Gain: Choosing the Right Questions
dev.to·1d·
Discuss: DEV
📈Mutual Information
How I Won the “Mostly AI” Synthetic Data Challenge
towardsdatascience.com·1h
🌊Streaming Algorithms
[D] Seeking advice on choosing PhD topic/area
reddit.com·1d·
Discuss: r/MachineLearning
🧪Data science
RegMean++: Enhancing Effectiveness and Generalization of Regression Mean for Model Merging
arxiv.org·22h
💻Local LLMs
The Core Idea: Finding the Best Separator
dev.to·3d·
Discuss: DEV
🗂️Vector Search
AVPDN: Learning Motion-Robust and Scale-Adaptive Representations for Video-Based Polyp Detection
arxiv.org·22h
👁️Perceptual Hashing
Kernel-Based Sparse Additive Nonlinear Model Structure Detection through a Linearization Approach
arxiv.org·1d
🧮Kolmogorov Bounds
Fusion Sampling Validation in Data Partitioning for Machine Learning
arxiv.org·1d
🧪Data science
LLMs - Embeddings 01
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
Estimating Worst-Case Frontier Risks of Open-Weight LLMs
arxiv.org·22h
💻Local LLMs
LRQ-DiT: Log-Rotation Post-Training Quantization of Diffusion Transformers for Text-to-Image Generation
arxiv.org·22h
🤖Advanced OCR
Likelihood Matching for Diffusion Models
arxiv.org·22h
🧮Kolmogorov Bounds
Automated Mineralogical Classification via Hyperspectral Data Fusion & Bayesian Inference
dev.to·3h·
Discuss: DEV
🏺Computational Archaeology
Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach
arxiv.org·2d
📈Mutual Information
Loading...Loading more...
AboutBlogChangelogRoadmap