Latest Articles for Machine Learning

New algorithms improve Maxent model training for predicting wildfire occurrences.

Enhancing model accuracy by fixing input data issues.

A novel approach to protect image privacy in technology while maintaining model performance.

Examining federated learning protocols to enhance privacy while improving model accuracy.

HNAM combines accuracy and clarity for effective demand forecasting.

A look into how tangles assist in data grouping and analysis.

A new flexible method for mutation rates enhances evolutionary algorithms' effectiveness.

A method to improve machine learning models' knowledge retention during new task training.

A novel method enhances learning in multi-objective settings using prior demonstrations.

A framework for improving pre-trained model selection through graph learning.

Extending Sliced-Wasserstein distances to Cartan-Hadamard manifolds for improved data comparison.

CLOUD offers a solution for hidden causes in causal analysis across varied data types.

KGExplainer enhances transparency in knowledge graph completion through meaningful explanations.

Exploring the viability of smaller language models for effective robotic task planning.

This article explores PID control integration into transformers to improve robustness and output quality.

Investigating how language models interpret complex sentence meanings.

New techniques improve reliability of polar codes using machine learning for digital communication.

Learn about conditional optimal transport and its applications in data transformation.

Structurally Flexible Neural Networks improve adaptability for diverse tasks.

This article reviews methods for generating questions to improve event argument extraction.

A new approach to reduce CNN complexity while maintaining performance.

Assessing how data poisoning affects policy evaluation methods.

A fresh approach enhances our knowledge of neutron star properties and equations of state.

New algorithms ensure fairness and diversity in data selection.

A framework for improving model performance in changing conditions.

A new method improves image analysis in digital pathology.

Researchers enhance visual program synthesis through improved training methods and feedback.

PLINDER enhances drug discovery through improved protein-ligand interaction datasets.

SportsHHI focuses on human interactions in basketball and volleyball videos for improved analysis.

This article discusses the Majority-of-Three algorithm for improving learning accuracy.

Research highlights how disconnectivity graphs reveal Ising machines' strengths and challenges in optimization.

Innovative approaches improve performance in sparse tensor computations across various applications.

Learn how the EXP3 algorithm enhances performance in multi-stage systems.

A new method, DepGraph, improves software bug detection accuracy.

This study examines how small weight initializations impact neural network training.

A new method improves optical imaging and patient safety in healthcare.

Research focuses on improving neural network verification with minimal NAP specifications.

Xenovert helps machine learning models adjust to changes in data without retraining.

Using historical LiDAR data to enhance camera-based 3D detection in autonomous vehicles.

A new method for tracking objects in videos without costly labeled data.