Latest Articles for Representations

A look into multi-view self-supervised learning methods and their impact on machine learning.

A deep dive into complex hyperbolic geometry and its modular group.

A look into Coxeter tetrahedra and their role in hyperbolic geometry.

This article examines Kronecker coefficients and their relation to quantum computing and representation theory.

This study explores the impact of hiring and attrition on women faculty representation.

Learn how recommendation systems can achieve both accuracy and diversity.

A new method improves image compression for better driving systems.

AMIRNet effectively restores images with various types of damage simultaneously.

A deep dive into the representation theory of rational Cherednik algebras.

A deep dive into the role of gamma factors in prime number representations.

Examining the struggles and advancements in RNA structural research.

This study investigates how authorship representations capture writing styles using deep learning methods.

Research reveals how previous visual stimuli influence current perceptions in the brain.

A study on the similarities and differences among programming languages in language models.

Introducing a fresh approach to enhance machine learning model performance with limited data.

A look at how gender is visualized in data and its implications.

A new method helps robots learn by mimicking human attention.

Exploring Stiefel-Whitney classes and their computation for dihedral group representations.

A method focusing on key features for better decision-making in machine learning.

New methods improve realism and diversity in 3D human movements from text.

Discover how AI is transforming the graphic design process.

An exploration of how zero shapes our understanding and reasoning.

Discover bi-frames and their role in improving data representation in mathematics.

A study on how RNNs learn and adapt their object classifications.

Research explores how agents understand their environment via interaction and action.

ProSMIN improves model representation without labeled data, addressing key challenges in self-supervised learning.

Novelty and diversity in research paper recommendations can foster interdisciplinary collaboration.

Exploring hybrid neural fields for efficient 3D scene representation.

New model improves recommendations for travelers by combining text and location data.

Exploring the Dunkl total angular momentum algebra and its significance in mathematics and physics.

This study examines the difficulties of using contrastive learning for music video understanding.

An overview of representations and partitions in group theory and combinatorics.

Explore the role of representations in enhancing reinforcement learning performance.

A method to improve learning across different data types.

Examining teaching methods to improve learning through various representations.

This study analyzes character objectification in movies using a novel AI approach.

Innovative approaches enhance understanding of molecular structures and their properties.

A review highlights the need for diverse genetic studies in brain diseases.

Examining racial and gender stereotypes in text-to-image models.

This paper reviews LGBTQ+ representation in HCI research and identifies key gaps.