Latest Articles for Machine Learning

New methods improve accuracy and efficiency in spotting text in videos.

HiPool enhances how models handle long documents using a graph-based method.

DDMM model generates high-quality X-ray images and segmentations using labeled and unlabeled data.

Discover the role of uncertainty quantification in machine learning models.

This study addresses how PLMs can adjust to changing programming environments.

A new method connects RL decisions to past experiences for better understanding.

A new method improves load forecasting using the Koopman operator and clustering techniques.

This paper discusses improving automation in generating business process models from text.

Exploring how active continual learning enhances machine adaptability and knowledge retention.

Learn how machine learning helps organize blockchain information.

K-SpecPart offers a new approach to efficient hypergraph partitioning.

A new approach to predict cloud cover using simpler, interpretable equations.

New dataset UIT-OpenViIC enhances image captioning for Vietnamese speakers.

DAS-N2N uses machine learning to improve seismic data collection by reducing noise.

A new method enhances the detection of chart elements using context.

Learn how dFIL improves privacy in instance encoding for sensitive data.

EDGE offers a more efficient way to generate complex graphs.

This project explores methods to improve understanding of legal judgments.

New methods enhance language models' reasoning abilities with structured approaches.

Machine learning techniques reveal unusual patterns in condensed matter physics data.

PointCMP tackles challenges in learning from 3D point cloud videos efficiently.

Satellites now learn and analyze data independently with onboard machine learning.

Using modern techniques to analyze and predict nuclear masses with precision.

New methods improve detection of COVID-19 using survey data and machine learning.

A method for large language models to refine answers through self-analysis.

Examining how biases in AI impact healthcare outcomes and ways to address them.

A new model improves human-like interaction in chat systems using real conversations.

New machine learning methods identify potential high-temperature superconductors effectively.

A new method for better performance in prompt tuning for language models.

Research introduces a fast model for identifying compilers used in ARM binaries.

This article reviews how ANNS algorithms perform with billions of items.

Strategies to defend against attacks that compromise image classification models.

This study introduces a technique for better understanding emotions through text from nonverbal signals.

New methods using deep learning improve tumor assessment in glioblastoma patients post-surgery.

New approach boosts face recognition accuracy using clearer depth images.

AI models are transforming the way legal text is categorized and analyzed.

This paper studies the uniform consistency of spectral embeddings in various applications.

Research improves ordinary differential equations solutions using physics-informed neural networks.

A new method enhances autonomous vehicle driving performance using expert knowledge.

Examining how adversarial attacks impact speech recognition systems and methods to enhance transferability.