Latest Articles for Active Learning

New algorithms boost efficiency in active learning with neural networks.

This paper presents a novel strategy for improving regression tasks through active learning.

New method improves efficiency in simulating complex molecular interactions.

New techniques enhance our understanding of dislocation behavior in materials.

A new framework improves data generation for accurate workflow performance analysis.

A method to efficiently model and control nonlinear systems using active learning techniques.

Discover how machine learning is advancing synthetic biology through innovative methods.

A two-stage active learning method enhances speech recognition accuracy with less data.

This article discusses salutary labeling, a method to reduce human input in machine learning.

This study explores advanced methods for efficient data labeling using neural network techniques.

Research focuses on finding innovative optical materials using machine learning and vast databases.

A look at an online course that involves students in astronomy research.

RoboGolf helps robots learn and adapt in the game of minigolf.

A new method combines human and AI for efficient text classification.

Quantum active learning enhances model training by selectively labeling data.

Synthetic data enhances the accuracy of stance detection in online discussions.

An exploration of active learning in online astronomy education.

Creating effective systems for recognizing activities in smart homes adapting to residents' needs.

Exploring the role of active learning in drug discovery through molecular docking.

ATLAS enhances seismic data selection using active learning and representation shifts.

A method to improve data collection for systems that change over time.

A benchmark tool advances active learning strategies in machine learning.

A flexible method enhances model learning by adjusting sample selection based on performance.

Streamlining data labeling with active learning approaches in entity recognition tasks.

Active learning enhances star classification by optimizing data labeling processes.

A new approach enhances dataset compression and model training efficiency.

Exploring efficient methods for patent analysis using automation.

A study on using active learning to enhance DNN surrogates for diffusion equations.

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

A new approach enhances graph neural networks using large language models.

Research shows active learning enhances AI's ability to detect eye diseases in OCTA images.

Research minimizes human labeling in reinforcement learning using concept bottleneck models.

Efficient modeling techniques enhance engineering design processes and reduce costs.

Examining how active learning can improve understanding of moral preferences.

CDALBench offers a reliable testing ground for various Active Learning methods.

A new method enhances example selection for better model learning.

A new framework enhances machine sound detection using active learning techniques.

This article discusses counterfactual data augmentation in active learning for improved model performance.

CLIPNAL enhances active learning by reducing costs and improving sample selection.

Discover how active learning optimizes experiments in biological research.