Latest Articles for Data Science

This paper enhances CCA using reduced rank regression for high-dimensional datasets.

This study introduces a novel approach to dimension reduction using semi-relaxed Gromov-Wasserstein distance.

A new method enhances sentiment analysis by addressing data scarcity challenges.

A new method for better article recommendations using historical user data.

AdaZeta reduces memory use while improving performance in fine-tuning large language models.

A new method connects images with lengthy texts without extra data requirements.

A new approach improves video frame prediction using domain knowledge.

A look into the relationship between model size and training data efficiency.

GTZAN-synth dataset leverages synthetic music for better music tagging systems.

Examining the role of matrix manifolds in enhancing deep learning models.

A novel model enhances language models' function calling abilities for complex tasks.

A new approach enhances temperature adjustment in knowledge distillation for better model training.

IDAICL improves predictions by refining demonstration quality in in-context learning.

A new synthetic dataset enhances training for multimodal AI models.

Discover the role of operator learning in advancing data-driven predictions across various fields.

A new model enhances the integration of images and text in pathology.

A new adaptive optimizer reduces memory use in training large neural networks.

A look at how prediction-powered inference enhances model performance in wireless technology.

VCHAR improves recognition of complex human activities using innovative visual methods.

Discover how language models enhance personalized recommendations in digital platforms.

New techniques aim to enhance scene graph generation by balancing common and rare relationships.

New neural operators improve accuracy in predicting magnetic material behavior.

New strategies improve optimization in uncertain environments.

Examining the impact of attention masks and layer normalization on transformer models.

A look at methods for understanding long-term effects across different fields.

Contrastive Policy Gradient offers a more efficient way to enhance language models.

New method improves efficiency in distributed minimax optimization problems.

Introducing algorithms for balancing multiple objectives in optimization tasks.

Explore the working and applications of diffusion models in generative AI.

A new method improves AI decision-making clarity.

Examining the need for fairness in AI and its impact on society.

A new method improves language model performance in low-resource languages.

This article examines the role of LLMs in generating synthetic data for text classification tasks.

New framework predicts multiple outcomes with associated probabilities.

This study examines how task similarity affects continual learning in neural networks.

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

A study on bias in synthetic image generation models and their societal impacts.

A new method improves covariance matrix estimation without strict assumptions.

New methods improve SVM performance in hyperbolic spaces for complex data.

New dataset improves how models convert web pages into HTML code.