Latest Articles for Transfer Learning

This study evaluates language models for quick power outage detection via social media.

Learn how federated learning can enhance machine learning while protecting data privacy.

Using transfer learning from Czech models boosts Slovak speech recognition accuracy.

Enhancing model performance using semi-supervised strategies in machine learning.

This document explores sentiment analysis across different languages and cultures.

A new approach enhances model adaptability across diverse datasets.

Methods to improve speech translation systems for underrepresented languages.

VCReg enhances transfer learning by promoting diverse feature representations in models.

New AI techniques show promise in predicting complications after Whipple surgery.

A new approach supports video activity recognition while protecting user privacy.

Learn how structure enhances decision-making in reinforcement learning.

A new method enhances how models learn from data transformations.

New dataset improves energy forecasting methods for buildings.

Exploring new tools and techniques to improve sign language interpretation.

This study focuses on improving spoken NER through transfer learning and E2E models.

Research focuses on reducing model complexity in brain imaging for better diagnosis.

A new approach improves performance in diverse computing systems.

Research explores the effectiveness of transfer learning on LiDAR datasets for archaeology.

Research on improving handwriting recognition models for diverse writing styles.

Population-based SHM enhances decision-making in structural maintenance with limited data.

New automated techniques improve stroke lesion identification in MRI scans.

Using computer vision to enhance defect classification in additive manufacturing.

Exploring the potential of multi-mask weight-tied models in machine learning.

Exploring diffusion models for image generation and classification.

New deep learning model improves tumor segmentation accuracy in pediatric patients.

Examining the role of gestures in VR for effective human-robot communication.

A new approach enhances safety in reinforcement learning tasks without prior rewards.

A study on using sound recordings to identify different bird species in Africa.

Using pre-trained audio embeddings leads to better music classification models.

A recent study introduces a technique for assessing cognitive load through EEG data.

This article explores the role of transfer learning in enhancing reinforcement learning models.

Using computer vision to identify beneficial herbal plants in Indonesia.

A new training method enhances the performance of dialog systems.

Research on how EEG detects emotions can transform mental health and marketing.

New machine learning framework improves EDFA performance predictions with minimal data.

An overview of how transfer learning can enhance decision-making in bandit problems.

This study enhances wildlife monitoring using audio feature embeddings for better sound classification.

A novel approach for assessing pre-trained models' adaptability to new tasks.

Research combines deep learning and graphene to create versatile metasurfaces.

Innovative approach harnesses synthetic images to improve brain tumor detection.