Trustworthy Efficient Communication for Distributed Learning using LQ-SGD Algorithm
arxiv.org·1d
🧠Machine Learning
Overtuning in Hyperparameter Optimization
arxiv.org·14h
🧠Machine Learning
Machine Learning Fundamentals: active learning
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Video Compression for Spatiotemporal Earth System Data
arxiv.org·14h
📊Rate-Distortion Theory
The first CNN for playing Scrabble – a game of imperfect information
cesardelsolar.com·2d·
Discuss: Hacker News
🔲Cellular Automata
Toward Decision-Oriented Prognostics: An Integrated Estimate-Optimize Framework for Predictive Maintenance
arxiv.org·14h
🌡️Preservation Entropy
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.org·1d
🌀Riemannian Computing
Machine Learning Fundamentals: active learning project
dev.to·3h·
Discuss: DEV
🧠Machine Learning
ReMAR-DS: Recalibrated Feature Learning for Metal Artifact Reduction and CT Domain Transformation
arxiv.org·14h
📊Learned Metrics
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment
arxiv.org·1d
💻Local LLMs
How much slower is random access, really?
samestep.com·2d·
Discuss: Hacker News
📼Tape Encoding
RL-Driven Semantic Compression Model Selection and Resource Allocation in Semantic Communication Systems
arxiv.org·1d
⧗Information Bottleneck
Guidance in the Frequency Domain Enables High-Fidelity Sampling at Low CFG Scales
arxiv.org·14h
👁️Perceptual Coding
The Bitter Lesson is coming for Tokenization
lucalp.dev·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Monadic Parsing
Fast Rate Information-theoretic Bounds on Generalization Errors
arxiv.org·1d
⧗Information Bottleneck
A Simple but Accurate Approximation for Multivariate Gaussian Rate-Distortion Function and Its Application in Maximal Coding Rate Reduction
arxiv.org·1d
🧠Neural Compression
Meet Mojo: The Language That Could Replace Python, C++, and CUDA
hackernoon.com·10h
⬆️Lambda Lifting
Deep-OFDM: Neural Modulation for High Mobility
arxiv.org·1d
🧠Neural Codecs
UltraSketchLLM: Saliency-Driven Sketching for Ultra-Low Bit LLM Compression
arxiv.org·1d
🗜️LZW Variants
Real-time AI Unleashed: The Power of Time-Series and Vector Database Synergy
dev.to·1d·
Discuss: DEV
📈Time Series