Latest Articles for Data Science

Explore how EE-Net improves decision-making in contextual bandits for various applications.

Using optimal transport to improve machine learning across different data styles.

A deep dive into community robustness and its implications.

Introducing Otter, a model that enhances instruction following using visual and text data.

GenClu offers a new method for efficient test case generation in CPS.

New insights into the performance and convergence of Graph Neural Networks.

This article introduces a model that evaluates the truth of commonsense statements.

This article discusses enhancing vision-language models for better object and attribute matching.

New dataset enhances analysis of text and images on webpages.

Exploring how data drives our understanding of complex systems through advanced modeling.

T-SciQ improves small models' accuracy in science questions using advanced teaching data.

A new approach helps predict and control healthcare-associated infections effectively.

A new method improves optimization in high-dimensional spaces for various fields.

New approaches to improve model performance on rare classes in visual recognition.

Discover the role of uncertainty quantification in machine learning models.

This study addresses how PLMs can adjust to changing programming environments.

A fresh approach using historical data enhances sea surface temperature predictions.

Exploring how active continual learning enhances machine adaptability and knowledge retention.

QXGBoost combines quantile regression with machine learning for better uncertainty insights.

EDGE offers a more efficient way to generate complex graphs.

A new model improves classification of cardiovascular disease using Raman data and medical history.

Using modern techniques to analyze and predict nuclear masses with precision.

Learn how Adaptive Robust Optimization enhances time series forecasting accuracy and stability.

Explore how tensors enhance data analysis and processing in various fields.

This study highlights how subword tokenization enhances music generation quality and efficiency.

A new model improves translation without relying on domain labels.

AI models are transforming the way legal text is categorized and analyzed.

A look at how generalized BART improves data analysis methods.

A method to enhance data collection efficiency in reinforcement learning.

Exploring modern methods for isolating mixed signals in audio and image processing.

This article explores how word embedding helps identify relationships between words.

RATs-GCN and P3S offer efficient CNN design solutions.

This article examines how memorization impacts BERT's effectiveness on language tasks.

A new method enhances recognition of rare categories in images.

Learn about symmetric low-degree splines and their applications in various fields.

Autoencoders help scientists manage large-scale inverse problems effectively.

Research harnesses social media insights to analyze natural disasters using machine learning.

Machine learning models help find bugs in concurrent programming for better software safety.

CB-Conformer improves speech recognition for biased words with innovative techniques.

A study combines XGBoost and CBR to improve flight delay predictions.