Show HN: I Built a Transcription CLI Because Uploading 4GB Videos Was Killing Me
medium.com·19h·
Discuss: Hacker News
💿FLAC Archaeology
Rodrigo Girão Serrão: Functions: a complete reference | Pydon't 🐍
mathspp.com·1d
⬆️Lambda Lifting
TypeNet Benchmark for development of authentication keystroke technologies
github.com·2d·
Discuss: Hacker News
🗜️LZSS Variants
DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding
arxiv.org·1d
🎙️Whisper
AI-Driven Predictive Maintenance of Compression Testing Machines via Multi-Modal Data Fusion & Semantic Parsing
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
Characteristic Learning for Provable One Step Generation
arxiv.org·9h
🤖Grammar Induction
POEM: Explore Unexplored Reliable Samples to Enhance Test-Time Adaptation
arxiv.org·9h
🧮Kolmogorov Complexity
Thin Bridges for Drug Text Alignment: Lightweight Contrastive Learning for Target Specific Drug Retrieval
arxiv.org·9h
🌀Differential Geometry
Adaptively Sampling-Reusing-Mixing Decomposed Gradients to Speed Up Sharpness Aware Minimization
arxiv.org·9h
📊Quantization
Transductive and Learning-Augmented Online Regression
arxiv.org·9h
🔍Information Retrieval
Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
arxiv.org·9h
🧠Machine Learning
Expand Neurons, Not Parameters
arxiv.org·9h
📊Quantization
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·9h
🗜️LZW Variants
This Puzzle Shows Just How Far LLMs Have Progressed in a Little Over a Year
towardsdatascience.com·48m
📐Mathematical Art
Detecting Notational Errors in Digital Music Scores
arxiv.org·1d
🎼Computational Musicology
AWS Certified Machine Learning Engineer Core Concepts
dev.to·3d·
Discuss: DEV
🧠Machine Learning
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
arxiv.org·9h
💻Local LLMs
LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
arxiv.org·9h
📼Tape Combinators
Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
arxiv.org·1d
🧠Machine Learning
Small Language Models for Agentic Systems: A Survey of Architectures, Capabilities, and Deployment Trade offs
arxiv.org·9h
⚙️TLA+