COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·6h
🧠Learned Compression
Translation using deep neural networks – Transformer
aamster.github.io·1d·
Discuss: Hacker News
🧠Neural Codecs
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·6h
📊Quantization
Advanced PDF Optimization Techniques - 1752612
dev.to·14h·
Discuss: DEV
📝Text Compression
Langevin Flows for Modeling Neural Latent Dynamics
arxiv.org·6h
🧠Machine Learning
A Neural Network Model of Complementary Learning Systems: Pattern Separation and Completion for Continual Learning
arxiv.org·6h
🧠Machine Learning
A Minimal DDPM
github.com·8h·
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🧠Machine Learning
CLIP Model Overview : Unlocking the Power of Multimodal AI
towardsdatascience.com·1d
📊Learned Metrics
Compressed data structures for Heegaard splittings
arxiv.org·6h
🕳️Persistent Homology
Hierarchical Modeling (H-Nets)
cartesia.ai·15h·
Discuss: Hacker News
🌀Hyperbolic Geometry
Spatial Lifting for Dense Prediction
arxiv.org·1d
🧠Machine Learning
NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation Models
arxiv.org·6h
📊Rate-Distortion Theory
Overcoming catastrophic forgetting in neural networks
arxiv.org·1d
🧠Machine Learning
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·2d·
Discuss: DEV
📊Learned Metrics
Context-Aware Regularization with Markovian Integration for Attention-Based Nucleotide Analysis
arxiv.org·1d
🧠Machine Learning
A parametric activation function based on Wendland RBF
arxiv.org·6h
🧠Machine Learning
Energy Efficiency in AI for 5G and Beyond: A DeepRx Case Study
arxiv.org·1d
🧠Machine Learning
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New Benchmarks
arxiv.org·6h
📊Learned Metrics
GALDS: A Graph-Autoencoder-based Latent Dynamics Surrogate model to predict neurite material transport
arxiv.org·6h
🌀Riemannian Computing