Latest Articles for Data Science

A new model enhances inductive reasoning in knowledge graphs by using multiple starting entities.

BinaryAlign improves word alignment accuracy for both high and low-resource languages.

New approach enhances medical imaging accuracy using unlabeled data and self-supervised techniques.

A new method assesses misleading data associations in machine learning models.

A new method allows language models to generate their own training data for better performance.

Siamese-PTM enhances patient recruitment for clinical trials using deep learning.

CDFL enhances human activity recognition while ensuring data privacy and efficiency.

Exploring how in-context probing and influence functions enhance data selection for models.

A new approach helps models adjust to unpredictable data environments effectively.

CQE improves video watch time predictions and user engagement on online platforms.

Examining how to improve certainty in AI predictions through conflictual loss.

Control theory enhances optimization methods for better system performance across various fields.

New methods tackle challenges in machine learning for improved performance.

MolTRES enhances chemical prediction by integrating knowledge and innovative training methods.

Machine learning enhances prediction of activity coefficients in chemical mixtures.

A new method improves data modeling in areas with limited information.

Dartboard improves retrieval in language models by maximizing relevant information.

Combine labeled and unlabeled data to enhance model accuracy.

Relational Representation Distillation improves model efficiency and accuracy in knowledge transfer.

Learn how low rank approximation simplifies large datasets for efficient data analysis.

Data and machine learning are transforming how scientists find new materials.

New methods improve image representation and processing efficiency.

A new method improves model accuracy in situations with class imbalance.

This study presents a method to detect errors in lesser-known languages.

A new method enhances knowledge transfer in neural networks.

J-CHAT provides a large, open-source dataset for enhancing spoken dialogue systems.

A new framework assesses AI models predicting cell reactions to changes.

Learn how in-context learning improves predictive models using multiple data sets.

SUWR method improves clarity and reliability of feature selection in predictions.

Exploring the value of approximately equivariant models in machine learning.

This article examines how quantization can improve Transformer language model training efficiency.

A new model enhances the connection between videos and their text descriptions.

This framework enhances data science efficiency by converting Python code to SQL.

Discover how GDAN enhances credit risk analysis using advanced graph techniques.

A new framework combines various guidance types for improved segmentation performance.

Examining the assumptions in deep learning optimization methods and their real-world implications.

A machine learning approach offers faster, more accurate climate predictions.

Combining LLMs and Prolog improves reasoning in text generation.

A detailed look at the MMAU benchmark for language models.

DropKAN improves KANs' performance by addressing Dropout issues.