Latest Articles for Machine Learning

Introducing a novel algorithm for nonconvex and nonsmooth optimization challenges.

This article discusses machine unlearning and its implications for data privacy.

Surveying symbolic knowledge distillation in large language models for better clarity and utility.

Examining the vulnerability of neural networks to small input changes.

GRAD-SUM automates prompt creation for better results with large language models.

New methods improve black-box attacks using unlabeled data for machine learning.

Learn how data augmentation algorithms improve data analysis and model building.

A new technique improves energy use in tree-based machine learning.

A new method combines models to understand emotions in art discussions.

CLOVER enhances object recognition in robots using context and innovative learning methods.

New machine learning models improve climate simulations for better predictions.

An overview of experience replay methods and their impact on learning efficiency.

SPIN offers detailed subpart annotations to improve image recognition.

A new algorithm improves solutions for complex optimization problems in machine learning.

A novel approach to enhance security in federated learning against backdoor attacks.

A new method improves part segmentation in 3D objects using 2D datasets.

A new method reveals insights into the relationship between galaxies and cosmic voids.

Strategies for improving machine learning models with shifting datasets.

New methods reduce memory usage while maintaining performance in LLMs.

A new algorithm addresses challenges in bilevel optimization with coupled constraints.

Exploring how new mathematical approaches improve machine learning for complex data types.

Learn how weight block sparsity boosts AI performance and efficiency.

A new approach improves feedback collection for language models, saving time and costs.

Discover the role of quantum authentication in enhancing digital security.

A new racing game environment boosts Offline Reinforcement Learning research.

A new dataset enhances question answering with visual data from scientific papers.

Researchers improve protein-DNA binding predictions using advanced methods and machine learning.

Introducing an innovative angle-preserving approach for visualizing high-dimensional data.

This article discusses the challenges and solutions in Graph Neural Networks.

FANet enhances semantic segmentation, improving accuracy in complex images.

A new dataset aims to support automation in construction processes.

Sinusoidal Positional Encoding offers improved learning and performance in machine learning tasks.

New model speeds up simulations of metal behavior in corrosive conditions.

New techniques improve efficiency in complex optimization problems for machine learning.

A new method to select data augmentations improves model performance on time series tasks.

A novel method to improve Bayesian network structure using multiple language models.

This article examines how layer changes impact transformer model performance.

New methods enhance parameter estimation in spin glass models.

New methods for federated learning improve efficiency and privacy in IoT networks.

This technique improves prediction accuracy by quantifying uncertainty effectively.