Latest Articles for Machine Learning

A new method improves 3D object detection using single images.

FlexVDW improves drug design by accounting for protein flexibility during ligand docking.

Researchers use machine learning to analyze 2D images for material property predictions.

A new memory system helps robots navigate challenging terrains effectively.

Recent methods improve speech recognition without relying on labeled data.

GLASU enhances communication efficiency in vertical federated learning using graph data.

This paper examines hate speech detection and target identification on Parler.

LMCodec compresses audio effectively while preserving quality for clear communication.

A deep dive into methods for improving data quality through matrix denoising.

Improving video recognition for less common actions through better datasets and methods.

A new method combines self-supervised models and text guidance for better image segmentation.

A new method improves action recognition in videos using fewer labeled examples.

This article highlights how self-supervised learning helps improve speech recognition systems.

A look into multi-armed bandits and their applications in decision-making.

Introducing Eigen Factors for improved 3D mapping and localization in robotics.

A new method enhances machine reading comprehension and logical reasoning.

DivClust introduces a method for generating diverse clustering results in machine learning.

Research focuses on training AI with minimal labeled data.

Insights into machine learning methods for combining diverse data types.

New methods improve object detection, segmentation, and depth estimation using TaskPrompter.

New method improves 3D object detection using past frame information.

A new model enhances data generation quality in machine learning.

A new method to better evaluate video quality in real-time communications.

HypLiLoc enhances LiDAR pose estimation for real-time applications.

GreekBART aims to improve Greek language tasks with a specialized model.

Discover the advantages of mirror descent in various fields of optimization.

FinnWoodlands dataset provides valuable insights into forest environments.

A new approach improves object recognition and segmentation in computer vision.

U-Next improves semantic segmentation for 3D point clouds with innovative techniques.

TEMPURA framework improves dynamic scene graphs by addressing biases and uncertainties.

A look at how CTMDPs and RL optimize decisions in uncertain environments.

A new method for teaching machines through example-based learning.

New techniques aim to read ancient texts without damage.

XTR simplifies token retrieval, enhancing efficiency and accuracy in information retrieval systems.

A new approach enhances machine learning model adaptability to unseen data.

Polar codes enhance data transmission efficiency and reliability through innovative coding methods.

A new method enhances language models' reasoning through automated feedback.

This research highlights the impact of prevalence shifts on machine learning in healthcare.

Research highlights the role of IRS in improving THz communication systems.

This article discusses the causes and implications of variance in neural network performance.