Latest Articles for Data Science

A study on enhancing few-shot learning through effective backbone training techniques.

A new method that enhances image generation quality and training stability.

Examining how LLMs can perform regression without additional training.

Adaptive Fair Representation Learning offers fair and accurate recommendations tailored to individual user needs.

Learn how importance weighting improves machine learning performance across various challenges.

Deep learning is shaping education through personalized learning and advanced assessment methods.

A new framework offers better recommendations for all user interests.

E3 framework improves detection of realistic synthetic images using limited data.

COCONut offers improved quality and accuracy in image segmentation datasets.

A new method improves segmentation with minimal annotations in 3D medical images.

A new dataset aims to improve AI in colorectal cancer screening.

A new method improves ranking in information retrieval using detailed relevance scores.

A new method improves machine learning efficiency with human feedback.

Discover how GPU technology improves PageRank efficiency for dynamic networks.

This work focuses on improving translation between German and Bavarian languages.

Researchers aim to generate balanced synthetic data to prevent bias in machine learning.

List learning allows computers to provide multiple answers, improving accuracy in AI systems.

A novel approach to improve example selection for better language model outputs.

Integrating semantic and structural knowledge enhances entity typing accuracy in knowledge graphs.

A new method aims to improve fairness in machine learning without sacrificing performance.

A study on methods for detecting psychosis through electronic health records.

A new method enhances emotion prediction accuracy using data augmentation techniques.

MCPNet offers clearer insights into deep learning model decisions through multi-level concept extraction.

A new framework enhances prediction confidence through learning and reasoning.

Research shows how machine learning identifies dark matter structures in gravitational lensing images.

Soft Mapper improves data visualization by optimizing filter functions in Mapper graphs.

A new method helps language models generate text faster and more efficiently.

Learn how selective predictions improve forecasting accuracy and decision-making in various fields.

A new method enhances robot movement with human behavior insights.

VAPAAD enhances video prediction accuracy using attention mechanisms.

Using noisy pseudo boxes for better model selection in weakly supervised object localization.

A new model improves room layout accuracy from single images.

DiffScaler enhances diffusion models for diverse image tasks efficiently.

A new algorithm revolutionizes radio astronomy imaging with faster, high-quality results.

HyperMono enhances knowledge graph accuracy using two-stage reasoning and qualifier monotonicity.

New method improves image classification with minimal data using unlabeled images.

A look at how compact methods improve data fitting for large datasets.

Self-supervised learning improves model performance with less labeled data.

SFPNet offers context-aware recommendations for better online shopping experiences.

Research shows how LLMs can clean data sets for summarization tasks.