Song recommendations with F# free monads
blog.ploeh.dk·1d
🔗Functional Compilers
Paying attention to feature distribution alignment (pun intended)
alexshtf.github.io·22h·
Discuss: Hacker News
📐Linear Algebra
Elasticsearch Explained with Real-Life Example: Why It Beats SQL for Search
blog.devops.dev·17h
🚀Query Optimization
Quality Precision
lesswrong.com·13h·
Discuss: Hacker News
✅FLAC Verification
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·3h
⧗Information Bottleneck
The Lobster Programming Language
strlen.com·11h·
Discuss: Hacker News
🔗Concatenative Programming
Notes on Autograd
aschrein.github.io·12h·
Discuss: Hacker News
⚡Incremental Computation
The MLOps Maturity Playbook: Practical Steps to Production-Ready ML
blog.devops.dev·19h
🔄Reproducible Builds
Attention Mechanism in Randomized Time Warping
arxiv.org·1d
📊Learned Metrics
[P] aligning non-linear features with your data distribution
reddit.com·20h·
Discuss: r/MachineLearning
🧠Machine Learning
Show HN: A short story on developing a long-context World-Model with no money
francesco215.github.io·3d·
Discuss: Hacker News
🧠Learned Codecs
NinA: Normalizing Flows in Action. Training VLA Models with Normalizing Flows
arxiv.org·3h
🎙️Whisper
DiCache: Let Diffusion Model Determine Its Own Cache
arxiv.org·3h
🧠Machine Learning
Adaptive DDoS Mitigation via Hyper-Dimensional Signature Correlation & Dynamic Recursion
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
How Retrieval Algorithms Shape Better LLM Responses?
dev.to·6h·
Discuss: DEV
🔍Information Retrieval
Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoring
arxiv.org·3h
🔧Hardware Verification
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
arxiv.org·3h
📊Learned Metrics
LingVarBench: Benchmarking LLM for Automated Named Entity Recognition in Structured Synthetic Spoken Transcriptions
arxiv.org·1d
⚙️Compression Benchmarking
Benchmarking Class Activation Map Methods for Explainable Brain Hemorrhage Classification on Hemorica Dataset
arxiv.org·3h
🧠Machine Learning
**High-Performance Packet Processing: Combining eBPF, XDP, and Go for Million-Packet-Per-Second Throughput**
dev.to·12h·
Discuss: DEV
🛡️eBPF Programs