The Ancient History of Compression Algorithms
cs4fn.org·6d·
Discuss: Hacker News
📊Compression Proofs
[R] Interesting paper on cost-aware prompt optimization (CAPO)
reddit.com·3h·
Discuss: r/MachineLearning
🏗️Compiler Archaeology
Language Models for Adult Service Website Text Analysis
arxiv.org·5h
📝Text Parsing
Straighten Viscous Rectified Flow via Noise Optimization
arxiv.org·1d
🔗Tailscale
Toward Improving fNIRS Classification: A Study on Activation Functions in Deep Neural Architectures
arxiv.org·5h
🧠Neural Codecs
Fine-tuning Large Language Model for Automated Algorithm Design
arxiv.org·5h
🔨Compilers
Machine Learning Fundamentals: data preprocessing with python
dev.to·1d·
Discuss: DEV
⚙️Batch Processing
Bridging Neural Networks and Dynamic Time Warping for Adaptive Time Series Classification
arxiv.org·1d
📈Time Series
BENYO-S2ST-Corpus-1: A Bilingual English-to-Yoruba Direct Speech-to-Speech Translation Corpus
arxiv.org·1d
📝ABNF Extensions
Commuting Distance Regularization for Timescale-Dependent Label Inconsistency in EEG Emotion Recognition
arxiv.org·5h
📊Learned Metrics
Demystifying Diffusion Models: Building DDPM from Scratch with PyTorch
dev.to·2d·
Discuss: DEV
📊Quantization
ViTCoT: Video-Text Interleaved Chain-of-Thought for Boosting Video Understanding in Large Language Models
arxiv.org·1d
🧠Neural Compression
AirLLM: Diffusion Policy-based Adaptive LoRA for Remote Fine-Tuning of LLM over the Air
arxiv.org·5h
💻Local LLMs
The Power of Certainty: How Confident Models Lead to Better Segmentation
arxiv.org·1d
🧠Machine Learning
Stop Fighting Image Formats: A Developer's Guide to Streamlined Image Processing
dev.to·2h·
Discuss: DEV
📸PNG Optimization
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·5h
🧠Machine Learning
Improving Multimodal Learning via Imbalanced Learning
arxiv.org·1d
📊Learned Metrics
What are Matrix Operations?
dev.to·7h·
Discuss: DEV
📐Linear Algebra
Efficient Triple Modular Redundancy for Reliability Enhancement of DNNs Using Explainable AI
arxiv.org·1d
🧠Intelligence Compression
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation
arxiv.org·2d
🌀Riemannian Computing