Latest Articles for Data Augmentation

A new method for selecting crowd workers enhances data labeling quality and reduces costs.

The study compares CNNs and transformers for medical image analysis.

Improving small models for medical questions through innovative techniques and data methods.

A new method generates audio from text using modern models.

A new method enhances robot path planning through image-based learning.

New methods improve quality of 360° images for better VR and AR experiences.

BioAug enhances training data for biomedical NER, addressing data scarcity issues.

This research focuses on improving self-supervised learning through contrastive learning and data augmentation.

A new method enhances how sensors process data for better object detection.

New dataset sheds light on bias in Chinese chatbots and seeks improvements.

A new method enhances keyword spotting systems in low-resource conditions.

A new semi-supervised framework improves predictions for under-represented graph properties.

A new method improves efficiency in molecular design, cutting costs and enhancing discovery.

ProFusion offers quick customization of images from text while preserving details.

Tied-Augment boosts model performance with efficient data augmentation techniques.

Research improves OpenQA models' ability to handle slight question changes.

Techniques to improve model performance amid varying image conditions.

New method simplifies item suggestions using user conversations.

Discover how self-supervised learning enhances machine learning with unlabeled data.

New techniques enhance performance of Generation-based QA systems using automated evaluation.

Learn how deep learning models maintain performance in varying real-world conditions.

A new method improves knowledge transfer in machine learning through data augmentations.

A new method for generating 3D chest CT images from text descriptions.

New methods improve machine learning models' ability to handle unseen data.

A new method to enhance data for relation extraction tasks.

New models enhance the detection of fake news using diverse data techniques.

Exploring new methods to enhance language models using few-shot paraphrasing.

This research improves NER models for better clinical text analysis.

This study explores using summarization to enhance event detection in lengthy documents.

New techniques improve sound recognition efficiency and reduce labeling costs.

This study examines ways to enhance ASR for low-resource languages using data techniques.

A look into how data augmentation boosts source code training methods.

VIPriors workshop highlights innovative approaches for training models with limited data.

A new method enhances how robots learn tasks with fewer demonstrations.

This article discusses class collapse and feature suppression in contrastive learning.

A new loss function enhances image retrieval speed and accuracy.

This article discusses using verb replacement for data augmentation in machine learning.

New methods improve face recognition accuracy while addressing privacy concerns.

Exploring how GANs can enhance medical imaging data.

Researchers utilize generative models to study non-B DNA structures in genetics.