Latest Articles for Machine Learning

OneProt combines various data types to enhance protein research efficiency.

Using machine learning to analyze survey non-responses in older adults during the pandemic.

Discover how machine learning reveals dual descriptions in lattice models.

Research on algorithms aims to improve particle accelerator efficiency and performance.

BudgetMLAgent combines small models for cost-effective machine learning solutions.

KALE combines images with rich captions for better understanding.

A look at deep learning behaviors and their explanations.

A new method improves data clustering efficiency and accuracy.

ClipFL enhances federated learning by removing noisy devices for better performance.

BeeManc team utilized advanced models to simplify complex medical texts at PLABA-2024.

Examining the line between AI-generated and human-written scientific papers.

Learn how to tackle label noise in machine learning for better accuracy.

Using smaller models to speed up training for larger language models.

Combining federated learning and GNNs for improved stroke assessment while ensuring patient privacy.

Autoencoders enhance the detection of unusual user behavior in Okta logs.

A new method helps robots learn actions from videos without a lot of data.

Tree structures improve language model efficiency and organization.

Learn how to choose important data for better results.

A study on two approaches to improve AI's performance in language tasks.

Machines learn to connect sound and visuals in 3D spaces.

Super weights are key to language model performance and efficiency.

Introducing gradual fine-tuning for smarter robot learning without extensive labels.

A new method blends efficiency and accuracy in Federated Learning.

Learn how to anticipate links in teamwork through collaboration networks.

Research reveals larger models aren't always better for teaching smaller models.

How new methods are transforming speaker identification in audio recordings.

Explore the rise of TinyML and the security issues it faces.

A new method enhances REST API testing using smart learning to prioritize key operations.

An overview of how language models learn and retain information.

Researchers investigate how large language models predict sequences using induction.

A new way to make language models lighter without losing performance.

ProP offers an effective way to catch backdoor attacks on machine learning models.

AIMC chips show promise in defending AI from clever attacks.

This article explores how machine learning aids in insurance policy classification.

A new method enhances model performance on diverse data types.

Learn how model-free control helps machines operate with minimal information.

This framework helps machines remember old tasks while learning new ones.

EVQAScore improves video QA evaluation efficiently and effectively.

A clear guide to tackling tricky optimization problems and their solutions.

A look into how we process data streams effectively.