Latest Articles for Active Learning

Exploring iShiftML's impact on accurate NMR chemical shift predictions.

Research on predicting labeled data requirements for effective model performance in NLP.

A new method improves efficiency in scientific research using machine learning.

A new method improves model performance by selecting informative errors for labeling.

A new method speeds up data labeling and model training.

A two-step method enhances accuracy in facial expression recognition.

A new method reduces labeling effort in video classification using active learning techniques.

New techniques make constraint acquisition more user-friendly and efficient.

Utilizing Bayesian experimental design enhances understanding of complex quantum devices.

BatchGFN improves batch active learning by efficiently selecting useful data points.

Using computer vision to enhance defect classification in additive manufacturing.

Researchers aim to teach machines to categorize mental and physical words.

A new method enhances the labeling process in medical imaging.

The MonoLiG framework enhances 3D detection using monocular cameras and LiDAR data.

NORIS improves image selection for training object detection models efficiently.

A new emulator enhances efficiency in cosmological data prediction.

A method that improves machine learning for medical imaging with less data.

Two methods aim to enhance data labeling for better classification results.

Peanut streamlines audio-visual data labeling, enhancing speed and accuracy.

Active learning enhances data training efficiency through strategic sample selection.

Explore the benefits of combining semi-supervised and active learning techniques.

New methods enhance tool recognition in surgical videos for better outcomes.

A framework to compare active learning methods for better data labeling efficiency.

A new method enhances speed and efficiency in binary classification data annotation.

A new method improves multitask learning by measuring uncertainty effectively.

New methods improve clinical trial data analysis through active learning techniques.

A method to help models predict unseen classes without extensive retraining.

BREATHE offers a new method for efficient design optimization across various fields.

Combining self-training and active learning improves medical image analysis efficiency.

This article reviews active learning's role in global sensitivity analysis for better data collection.

A new method enhances sample selection in semantic segmentation.

A new approach enhances the safety of complex AI systems.

Learn how to effectively gather user preferences for better recommendations.

Using Active Learning and online distillation to boost model training in HPE.

AI tutors help improve student performance through personalized learning.

Innovative techniques enhance efficiency in aerospace engineering design processes.

Examining active learning methods for improving PLM ranker training under budget constraints.

A new method reduces sketch creation effort in image retrieval tasks.

Introducing COPS, a method for efficient deep learning model training with less data.

New techniques improve power flow learning for efficient electricity delivery.