Learning to Quantize and Precode in Massive MIMO Systems for Energy Reduction: a Graph Neural Network Approach
arxiv.org·6h
📊Quantization
Categorical Features: The Backbone of Search & Recs Engineering
shaped.ai·1d
🧠Learned Indexing
A Deep Dive into Clustering for Customer Segmentation
dev.to·3h·
Discuss: DEV
🌊Spectral Clustering
Translation using deep neural networks – Transformer
aamster.github.io·1d·
Discuss: Hacker News
🧠Neural Codecs
Automating Deep Learning: A Gentle Introduction to AutoKeras and Keras Tuner
towardsdatascience.com·17h
📊Quantization
Class-Proportional Coreset Selection for Difficulty-Separable Data
arxiv.org·6h
🧠Machine Learning
A Minimal DDPM
github.com·8h·
Discuss: Hacker News
🧠Machine Learning
Spatial Lifting for Dense Prediction
arxiv.org·1d
🧠Machine Learning
COLI: A Hierarchical Efficient Compressor for Large Images
arxiv.org·6h
🧠Neural Compression
What are Vectors and Matrices?
dev.to·1d·
Discuss: DEV
📐Linear Algebra
Canonical Bayesian Linear System Identification
arxiv.org·6h
🧠Machine Learning
Machine Learning Fundamentals: data preprocessing with python
dev.to·1d·
Discuss: DEV
⚙️Batch Processing
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization
arxiv.org·1d
🧠Machine Learning
Robust-Multi-Task Gradient Boosting
arxiv.org·6h
📊Learned Metrics
🎯 Building Attention Mechanisms from Scratch: A Complete Guide to Understanding Transformers
dev.to·2d·
Discuss: DEV
📊Learned Metrics
Towards High Supervised Learning Utility Training Data Generation: Data Pruning and Column Reordering
arxiv.org·1d
🤖Grammar Induction
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
arxiv.org·6h
🧠Machine Learning
D3FL: Data Distribution and Detrending for Robust Federated Learning in Non-linear Time-series Data
arxiv.org·6h
🧠Machine Learning
Fairness-Aware Grouping for Continuous Sensitive Variables: Application for Debiasing Face Analysis with respect to Skin Tone
arxiv.org·6h
🌀Differential Geometry
A Practical Guide to Anomaly Detection in Python
dev.to·2h·
Discuss: DEV
🧠Machine Learning