Latest Articles for Continual Learning

New techniques improve learning in spiking neural networks while reducing memory needs.

This study examines bias in Continual Learning models for medical imaging.

New methods tackle the challenge of catastrophic forgetting in AI learning.

New methods improve classification of legal texts by considering their temporal context.

New methods aim to improve machine learning by retaining knowledge while adapting to new tasks.

Analyzing how LoRA affects knowledge retention in pretrained models during continual learning.

A new method for continual learning in AI systems enhancing retention of knowledge.

A framework to improve continual learning with graph-structured data.

MIGU enhances continuous learning in language models without needing old data.

RAIL merges continual learning with vision-language models for better adaptability.

This study examines how model size affects performance in Online Continual Learning.

Examining risks and defenses against backdoor attacks in AI models.

A new method improves model accuracy and efficiency in fluctuating data environments.

A new framework improves AI medical image classification by addressing biases and forgetting outdated information.

New methods improve continual learning and adaptability of large pre-trained models.

CADE improves audio detection against evolving spoofing threats using continual learning techniques.

A novel approach enhances continual learning efficiency in resource-limited devices.

This paper examines backdoor attacks and their implications on machine learning security.

A new system enhances security for vehicles in the 6G era.

A new method improves medical image analysis while protecting patient privacy.

New methods enhance ASR models for multiple languages, preserving past knowledge.

CluMo helps models learn continuously in Visual Question Answering without forgetting past knowledge.

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

Innovative methods enhance object detection performance on resource-limited devices.

A new machine learning method prioritizes safety in autonomous systems.

A new approach enhances digital pathology while ensuring patient privacy.

New method improves continual learning in object detection.

A new method for improving keyword spotting while retaining learned knowledge.

Discover a new method for AI learning that improves knowledge retention.

A new framework improves model learning in 3D with exemplar selection.

Learn how robots adapt and retain knowledge through continual learning.

New dataset and methods improve object detection for small robots in changing environments.

A novel approach to address memory issues in machine learning.

A new method improves human pose estimation by enabling continuous learning of keypoints.

Research focuses on improving methods for detecting realistic fake speech.

Research shows how NMC can improve machine learning adaptability.

Exploring how AI can learn while keeping user data private.

This framework helps machines remember old tasks while learning new ones.

New models help machines retain knowledge while learning new tasks.

A new framework that improves face recognition by learning continuously without forgetting.