Latest Articles for Data Augmentation

This article discusses new methods for improving navigation near asteroids.

Improving methods for detecting solar panels through remote sensing technology.

This article discusses how LLMs can create new datasets for reading comprehension tasks.

New method generates counterfactual examples for better model evaluation and training.

Order-preserving Consistency Regularization improves model performance in diverse situations.

Examining social bias in machine learning, focusing on language, vision, and vision-language models.

Strategies to enhance interpretability in AI systems for better understanding.

Explore Gibbs sampling and data augmentation in statistical modeling.

A new method improves audio tagging performance and efficiency.

FDLS streamlines the creation of realistic digital character animations using deep learning.

A new model improves recognition of rare categories in imbalanced datasets.

Study shows Supervised Contrastive Learning enhances model performance across varied datasets.

A new model improves image recognition by adapting to transformations uniquely.

RLLTE provides a flexible framework for developing and improving reinforcement learning applications.

New approach enhances deep learning models for reliable medical image segmentation.

New techniques enhance model performance using limited labeled data.

Proper data separation enhances lung cancer detection accuracy using deep learning.

A new method enhances positive sample generation in self-supervised learning.

Exploring the significance of feature normalization in non-contrastive learning dynamics.

BOD simplifies data analysis by involving users in ranking important variables.

A new lightweight model improves pitch estimation using self-supervised learning techniques.

Research improves force prediction in robotic surgery using visual data and machine learning.

A deep learning method enhances kidney problem detection in medical imaging.

Examining fairness and accuracy in detecting vulnerable road users by autonomous vehicles.

NAG2G enhances the process of predicting reactants for compound synthesis.

A new approach enhances NLP models against adversarial attacks through targeted paraphrasing.

A new AI framework improves eye disease detection through enhanced imaging techniques.

New methods aim to enhance pneumonia diagnosis in children's lung health.

FrameFlow propels protein design by enhancing scaffold diversity and functionality.

This study examines how ML improves variable selection in symbolic computation.

A deep dive into Denoising Diffusion Models and their simplification to enhance representation learning.

A self-supervised learning approach enhances nerve fiber analysis in brain imaging.

This work examines how LLMs enhance vulnerability detection in Java code.

Using ML methods to improve detection of Alzheimer's Disease through data strategies.

Researchers enhance heart sound classification accuracy using codec data augmentation methods.

CAMBranch enhances optimization in Mixed Integer Linear Programming with machine learning techniques.

Researchers enhance model performance by increasing data variety using novel augmentation methods.

This study improves GNN performance through effective graph explanations.

A new approach to integrate diverse cultural insights into language models.

Understanding how to build more reliable machine learning systems against adversarial threats.