Latest Articles for Data Science

A clear breakdown of language model components and their roles.

Combining average and precise data can improve predictive models.

Discover how machines learn from few examples using innovative techniques.

LPLgrad improves machine learning by selecting the best data for training.

Researchers tackle bias in language models using a new approach.

Delta-NAS speeds up neural network design by focusing on similarities.

AEN offers efficient text classification with low processing demands.

A system designed to provide quick answers about Pittsburgh and CMU.

Cobra simplifies image analysis for better disease diagnosis.

Discover how EAST optimizes deep neural networks through effective pruning methods.

A look at the complexities of training quantum machine learning models and a new approach.

Learn about popular optimization algorithms in machine learning and their unique features.

Machines learn to locate objects in images using innovative techniques.

A synthetic dataset designed for better machine understanding of indoor environments.

LSTM networks show promise in predicting turbulent fluid flows better than traditional methods.

VADet improves object detection in autonomous vehicles using intelligent frame aggregation.

A look at how graph learning enhances semi-supervised domain adaptation.

A new method leverages graphs for better medical image analysis.

A new approach combines machine learning with traditional methods for solving complex math problems.

GCA-HNG improves model training by creating challenging negative samples.

A new framework addresses action bias in video understanding.

Examining the impact of hardware and communication on deep learning efficiency.

Discover how Aureus transforms news reading with smart recommendations.

Discover the vibrant world of tropical geometry and its unique concepts.

Learn how prescriptive analytics shapes decision-making across various sectors.

A look at how TinTeM improves AI learning with smarter methods.

AbilityLens standardizes evaluation for multimodal large language models.

Discover how data augmentation can improve NER models in low-resource domains.

A new technique for identifying unusual data points effectively.

Examining adversarial attacks and promoting fairness through mixup training.

An overview of how model size and data affect learning in deep neural networks.

A new method adjusts learning rates for faster and better model training.

Understanding how Knowledge Graphs can reduce false information in AI responses.

New strategies enhance GNN performance in multi-label node classification tasks.

Discover how federated learning enhances activity recognition while addressing data challenges.

A look into how various distance measurements impact shapes and data.

This article explores how a simple transformer learns the one-nearest neighbor prediction method.

A look into graph generation and its significance in connecting the world.

A new method simplifies medical image labeling using just one annotated slice.

Explore a new method combining labeled and unlabeled data for efficient 3D modeling.