10 Useful NumPy One-Liners for Time Series Analysis
machinelearningmastery.com·1d
📈Time Series
Deep learning reveals antibiotics in the archaeal proteome
nature.com·16h·
Discuss: Hacker News
⚙️ABNF Mining
Did GPT-5 Solve 'New Math'?
tech2geek.net·1d·
Discuss: Hacker News
🎯Performance Proofs
I reverse-engineered a bug in my PPO agent that gave it a 9x performance boost
theprincipledagent.com·1d·
Discuss: Hacker News
⚡Performance Mythology
Dependent types I › Universes, or types of types
jonmsterling.com·1d·
Discuss: Hacker News
🔤Type Theory
Notes on Autograd
aschrein.github.io·2d·
Discuss: Hacker News
⚡Incremental Computation
Automated Literature Synthesis & Knowledge Graph Refinement via Dual-Pass Semantic Parsing
dev.to·13h·
Discuss: DEV
🔗Constraint Handling
Autoregressive Universal Video Segmentation Model
arxiv.org·1d
📊Rate-Distortion Theory
Exhaustive Generation of Pattern-Avoiding s-Words
arxiv.org·3d
💾Binary Linguistics
NLKI: A lightweight Natural Language Knowledge Integration Framework for Improving Small VLMs in Commonsense VQA Tasks
arxiv.org·2h
🎙️Whisper
Inference Gap in Domain Expertise and Machine Intelligence in Named Entity Recognition: Creation of and Insights from a Substance Use-related Dataset
arxiv.org·2h
🧠Machine Learning
Understanding Convolutions: The Sliding Window of Insight
dev.to·3d·
Discuss: DEV
🧠Machine Learning
Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models
arxiv.org·2d
🧠Neural Codecs
Better Language Model-Based Judging Reward Modeling through Scaling Comprehension Boundaries
arxiv.org·2d
🔗Monadic Parsing
ConfTuner: Training Large Language Models to Express Their Confidence Verbally
arxiv.org·1d
🧠Intelligence Compression
AdapSNE: Adaptive Fireworks-Optimized and Entropy-Guided Dataset Sampling for Edge DNN Training
arxiv.org·2d
🧠Machine Learning
MobileDenseAttn:A Dual-Stream Architecture for Accurate and Interpretable Brain Tumor Detection
arxiv.org·1d
🧠Machine Learning
AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
arxiv.org·2h
🧠Machine Learning
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation
arxiv.org·2d
📊Learned Metrics
Is attention truly all we need? An empirical study of asset pricing in pretrained RNN sparse and global attention models
arxiv.org·1d
🧠Machine Learning