Latest Articles for Data Science

GraVAC optimizes gradient compression for faster deep learning model training.

Enhancing fairness in recommendation systems with new models and techniques.

A new method improves predictions for large graphs while reducing memory use.

A new method enhances language models' ability to learn continuously.

This research aims to improve predictions of cardiovascular disease using machine learning techniques.

This paper presents an off-policy algorithm for average reward optimization in continuous environments.

Examining how entropy affects models in varying data scenarios.

The effectiveness of synthetic images in training medical AI goes beyond their appearance.

LogiCoT enhances language models' logical reasoning through structured tasks.

Learn how matrix factorizations lead to solutions in math and cryptography.

A new semi-supervised framework improves predictions for under-represented graph properties.

This study examines fairness in multi-task learning using demographic data from related tasks.

This article discusses the significance of sentence representations in natural language processing.

New datasets help assess language models in less spoken languages.

A new method enhances how LLMs create structured graph data.

Exploring the hurdles in active learning and its implications for research.

A new method improves machine learning model adaptation in unlabeled settings.

A new framework enables models to learn from graphs using in-context techniques.

Learn how diverse counterfactual explanations clarify machine learning decisions for users.

This article examines strategies for improving Text-to-SQL systems using large language models.

New methods for robust polynomial matrix inequality optimization tackle real-world uncertainties.

A new framework improves link prediction and provides understandable explanations.

AuT-Few simplifies prompt creation, enhancing language model efficiency.

Grad-Align+ improves network alignment without needing extra information.

This article discusses improving predictions by adapting data from different domains.

Learn how to manage overfitting for better model performance.

A new framework enhances understanding of events in time and space.

This article discusses a method to classify text with minimal human input.

LA-GCN improves skeleton-based action recognition using prior knowledge and advanced network structures.

A new method enhances image learning using spatial reasoning.

A new method improves speed and flexibility in language models.

This article presents a method to improve causal analysis in subsampled time-series data.

A new approach to improve model performance under various input changes.

An innovative method enhances transformer models' reasoning using probabilistic logical rules.

Learn about data simulation methods for effective statistical modeling.

The 3H-TH model improves knowledge graph embeddings by capturing complex relationships.

A new method enhances predictions for ICU patients’ physiological responses using existing data.

Combining EHR data with personalized knowledge graphs improves healthcare outcome predictions.

A new model enhances understanding of quantum data through innovative learning techniques.

REFinD addresses the unique challenges of relation extraction in financial texts.