Latest Articles for Data Augmentation

This work showcases effective robotic learning using self-supervised reinforcement techniques.

Improving code analysis through better understanding of developer practices and cloning.

A new method enhances fiber orientation estimation in DW-MRI across varied data sources.

A new method enhances problem list generation from hospital progress notes.

New methods improve early detection of respiratory diseases using sound data.

A novel approach combines cloze tasks and data augmentation for improved QA performance.

This method improves VQA performance using unlabeled images for question generation.

Using AI to improve load safety checks in logistics.

A new framework enhances CTR prediction by addressing sample selection bias.

A look into improving image captioning with user input and data techniques.

Integrating user feedback to improve image captioning models for better user experience.

New techniques cut labeling costs and improve galaxy shape classification.

ScoreCL improves model learning through adaptive score matching in contrastive learning.

Improving rare request handling in voice assistants through data augmentation.

Improving AI tools for generating code from natural language descriptions.

Exploring data augmentation's role in enhancing machine learning model performance.

This study improves ESG issue classification using language models in English and French.

A novel approach using instance-wise data augmentation for better adversarial model robustness.

Lookaround optimizer enhances model training by integrating weight averaging throughout the process.

A look into the OpenLane Topology Challenge and its innovative methods.

AI technology enhances rehabilitation exercises through video data analysis.

OpenOOD v1.5 enhances OOD detection evaluation methods for reliable performance.

This model enhances machine learning in clinical settings despite varying data sources.

Research aims to improve language detection in English-Mandarin conversations.

New methods for generating questions enhance reading skills and engagement.

An overview of advancements in natural language processing and their applications.

Generative AI is reshaping the design and function of wireless networks.

New methods improve relation extraction and data efficiency.

Researchers use neural networks to improve detection of strong gravitational lenses.

A new CNN model improves retinal disease diagnosis accuracy and efficiency.

Achieving high accuracy in image classification with a compact ResNet model.

A new framework enhances data augmentation for better anomaly detection.

Exploring the benefits and challenges of semi-supervised object detection methods.

FLOWER addresses few-shot learning and catastrophic forgetting in machine learning models.

A new method generates text images for languages with limited data.

This study enhances smaller AI models using knowledge from larger language models.

This article examines the role and challenges of synthetic tabular data in ML.

A new method for forecasting anomalies using advanced deep learning techniques.

This article assesses the effectiveness of token-level text augmentation techniques in natural language processing.

New techniques enhance emotional understanding in speech processing tasks.