Latest Articles for Multi-task Learning

Analyzing how training datasets affect AI fairness in skin lesion diagnosis.

A study comparing machine learning models for evaluating vulnerabilities in C/C++ code.

A new approach to enhance efficiency in multi-task learning using low-rank matrices.

Multi-Task Grouping improves learning efficiency and performance across various AI applications.

A new method improves multi-task learning in language models by sharing knowledge.

A new method improves Named Entity Recognition across different domains.

MoDE streamlines task handling for language models, enhancing performance and efficiency.

A new model enhances prognosis prediction for patients with intracranial hemorrhage.

This article examines advancements in eye-tracking using EEG and deep learning techniques.

A new approach to analyzing electronic health records enhances patient care and outcomes.

Exploring how brain chemicals improve reinforcement learning algorithms.

A new approach enhances product display for better online shopping experiences.

A new model aims to translate brain activity into readable language.

Exploring how multi-task learning affects model performance and generalization.

A novel approach enhances video understanding using fewer resources.

Exploring the challenges of Multi-Task and Continual Learning in machine learning.

TRACE analyzes user actions to enhance travel shopping experiences.

Exploring shadow detection, removal, and generation in computer vision.

This article explores fast adaptation techniques for deep learning in wireless systems.

A new model enhances fashion item suggestions using geometry and visual data.

Study investigates how language models process Italian through multi-task learning.

A new method uses audio to enhance machine pronunciation accuracy.

A novel assessment method for schizophrenia using multimodal data.

DeFT-Mamba improves sound separation and classification in noisy environments.

A new approach to improve molecular property predictions in AI using task addition.

Temporal2Seq framework streamlines multiple video understanding tasks into one model.

A study on automatic detection of offensive language using modern techniques.

A dual-task model improves accuracy in 360° image analysis.

Discover a new framework that improves multi-task learning efficiency and reduces costs.

Examining the line between AI-generated and human-written scientific papers.

Scientists find connections between genes and cancer using new methods.

A new model enhances predictions in autonomous racing, improving accuracy and speed.

A new strategy for targeting multiple tasks in deep neural networks.

Learn how computers recognize images using two key tasks.

Robots are learning to perform multiple tasks and adapt to various environments.

A new system improves real-time surgical visualization with multi-task learning.

A fresh method improves AI training efficiency for language models.

Learn how to manage multiple tasks efficiently with a new method.

Advanced language models transform material property predictions into simple conversations.

Discover how SIPM transforms conic optimization in machine learning.