Latest Articles for Representations

An overview of quivers and their representations in mathematics.

Learn how contrastive learning improves time series prediction and planning.

Explore the significance and applications of Lie colour algebras in mathematics and physics.

Discover how language imbalance can improve multilingual model performance.

Research highlights the importance of fairness in machine learning language representations.

A focus on diversity and inclusion in mathematics education and practice.

This study analyzes language biases affecting gender and race in various texts.

This study reveals insights into how numbers can be expressed as products.

A look into Kronecker quivers and the significance of their representations.

Examines cultural bias in hate speech datasets and its impact on detection systems.

A new method enhances autoencoders for better data representation.

Examining the role of representation in PPO and its impact on agent performance.

Exploring how absence can inform better algorithmic design and promote equity.

Exploring the ties between archaeology and queer perspectives in video games.

This study examines how dialects affect image characteristics in generation models.

A look at how media shapes perceptions of race and gender.

This paper examines unique factorization in tensor products of Lie superalgebras.

This study examines how high-dimensional phases enhance language model performance.

This article discusses the importance of data practices for fairness in machine learning.

This study explores how neural network representations evolve during training, inspired by nature.

This study explores how DNNs learn and adapt through training.

Research reveals a method to improve multi-modal model performance by addressing representation gaps.

This research examines the fairness of self-supervised learning models across demographic groups.

Explore how groups act on vector spaces and their applications.

Examining the role of randomization in creating fair machine learning systems.

How machine teaching can enhance student learning through effective connection.

A new method for effective word and sentence representations in natural language processing.

A novel method enhances tissue image analysis for better disease diagnosis.

EquiPrompt aims to reduce biases in AI-generated images using innovative methods.

A look at how AI systems can adapt and learn like living organisms.

This article examines the true meaning of democratization in AI.

A study on how AI comprehends algorithms and their implications.

A look at orbits and their significance in algebraic geometry.

BPA enhances how we represent features in various data tasks.

PopAlign aims to reduce bias in text-to-image generation while maintaining quality.

A study reveals key differences in how humans and AI represent images.

New metrics provide better evaluation of generative models' performance in machine learning.

Study reveals gender stereotypes in emotional responses of Bangla language models.

Improving AI for better deck strategies in card games.

Exploring unique surfaces defined within a bi-complex hyperbolic framework.