COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·8h
🧠Neural Compression
Translation using deep neural networks – Transformer
aamster.github.io·1d·
Discuss: Hacker News
🧠Neural Codecs
Intel releases new tool to measure gaming image quality in real time —AI tool measures impact of upscalers, frame gen, others; Computer Graphics Video Quality M...
tomshardware.com·17m
📊Rate-Distortion Theory
Advanced PDF Optimization Techniques - 1752612
dev.to·15h·
Discuss: DEV
📝Text Compression
Evaluating Image Compression Tools
rachelplusplus.me.uk·3d·
Discuss: Hacker News
📊Rate-Distortion Theory
Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·8h
📊Quantization
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🧠Learned Indexing
Students, here are 5 key things to know when learning how to train large language models
techradar.com·18h
💻Local LLMs
A Minimal DDPM
github.com·10h·
Discuss: Hacker News
🧠Machine Learning
[R][D] Interpretability as a Side Effect? Are Activation Functions Biasing Your Models?
reddit.com·2h·
Discuss: r/MachineLearning
📊Learned Metrics
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·8h
🧠Machine Learning
A New Breed of Chatbots Are Quietly Changing Product Management
hackernoon.com·1d
🌀Brotli Internals
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·2d·
Discuss: DEV
📊Learned Metrics
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.org·1d
🧠Machine Learning
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·1d
🧠Machine Learning
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·1d
🧠Machine Learning
Overcoming catastrophic forgetting in neural networks
arxiv.org·1d
🧠Machine Learning
Robust 3D-Masked Part-level Editing in 3D Gaussian Splatting with Regularized Score Distillation Sampling
arxiv.org·8h
🏺Computational Archaeology
Spatial Lifting for Dense Prediction
arxiv.org·1d
🧠Machine Learning
GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
arxiv.org·8h
🌀Riemannian Computing