Latest Articles for Attention

Research reveals insights into brain activity related to attention.

Examining how musical skills relate to understanding speech in noisy settings.

This study reveals how personal gaze patterns affect human-robot interactions.

LHU-Net improves accuracy and efficiency in medical image segmentation, aiding healthcare professionals.

This article explores how eye movements relate to attention and decision-making.

Context greatly aids how we recognize objects, even when our focus is elsewhere.

Aaren improves efficiency in attention-based models for sequential data analysis.

A new approach to speed up transformers while maintaining accuracy.

Exploring tensor attention and its impact on data processing in AI models.

A new model improves Transformers by combining sensory and relational information.

This study examines how attention shapes working and long-term memory processes.

MultiEdits allows simultaneous image changes through text prompts, improving efficiency and quality.

A new method to improve attention mechanisms in complex data processing.

Discover how Extended Mind Transformers improve memory handling in language models.

How similarity affects our ability to focus in everyday situations.

Explore the role of attention mechanisms in machine learning.

SinkLoRA improves language models' efficiency in handling long texts.

Methods to enhance translation quality in large language models.

QuAN model efficiently analyzes complex quantum systems for improved understanding.

Study reveals how attention impacts memory performance in daily situations.

Arousal state influences how we process external signals and internal memories.

A new method enhances LLM performance on lengthy text without losing accuracy.

A new method for music generation using self-similarity matrices and attention systems.

Exploring how Transformers classify data through contextual information.

Understanding attention maps improves machine learning in medical diagnostics.

Exploring how individuals and dyads navigate public spaces to avoid collisions.

New methods improve accuracy and efficiency in speech recognition systems.

WallFacer improves efficiency in training long sequence Transformer models with optimized communication.

A look at enhancing deep learning models for efficiency in image processing.

XLSR-Transducer model excels in real-time transcription with minimal data.

A model predicting viewer focus on graphic design documents.

Study shows bright light improves attention in young adults.

New models show promise in translating longer texts efficiently.

New research reveals how our brain's predictions affect our hearing ability.

Explore how eye movements shape our perception and recognition.

A new method minimizes misleading features in machine learning with less human effort.

A flexible model architecture that enhances Transformer efficiency and performance.

Exploring the relationship between brain function and attention behaviors.

A new method improves audio generation efficiency using innovative attention techniques.

Examining how social media influences opinion formation and polarization.