Latest Articles for Data Science

An analysis of synthetic data's effectiveness and its applications in various fields.

Examining how language models express and calibrate confidence scores.

A study on making predictions using Bayesian neural networks with challenging weight distributions.

PESCO offers efficient text classification using self-supervised learning methods.

A new method combines human communication insights with data compression for multimedia content.

A new method for testing network model fit enhances accuracy and insights.

A new method improves knowledge transfer in machine learning through data augmentations.

This paper proposes a method to correct popularity bias in GCN-based recommendations.

Researchers push boundaries of language models with few-shot learning techniques.

A new method improves object detection with labeled and unlabeled data.

JDsearch offers real user data to improve online shopping search results.

This article explains the challenges of finite sample stickiness in statistical analysis.

Researchers improve text generation from structured data using cycle training methods.

A look at how mixture models can help analyze complex datasets.

OneCAD offers a flexible model for efficient image classification across various domains.

A method to enhance the accuracy of text generation in language models.

New methods improve processing speed while maintaining accuracy in language models.

Improving access to data science education for all learners.

Explore the fundamentals and applications of Deep Learning and its geometric variant.

Effective strategies to improve model performance on imbalanced datasets.

A new framework integrates structured and unstructured data for improved accuracy.

A new method improves realism in adversarial samples while maintaining effectiveness.

A new method generates synthetic data to improve health model predictions for all groups.

This article explains how language models solve tasks using simple mathematical methods.

We study how explanations improve understanding in graph neural networks.

Combining active learning and physical constraints improves symbolic regression results.

Union Subgraph Neural Networks enhance graph analysis by capturing local structures.

A new method enhances resource use in text generation models.

RAGE improves how graph models explain their predictions effectively.

QSVM combines quantum computing and machine learning for faster and more accurate data classification.

Study reveals how batch size affects training performance of deep neural networks.

An innovative approach combining offline and online reinforcement learning for improved decision-making.

A new algorithm tackles exploitation bias in ranking systems for better relevance.

Exploring methods to maintain knowledge in machine learning systems.

New pre-training strategies enhance text classification without prior label training.

AD-NEv framework enhances anomaly detection through innovative approaches.

NODDLE combines node2vec and deep learning for improved link prediction accuracy.

A new approach enhances recommendation systems through effective negative sampling techniques.

A comprehensive look at different evaluation metrics for XAI methods.

A new method enhances image captioning through diverse image representations.