Latest Articles for Data Science

Learn how low-rank approximation simplifies large matrices and enhances computations.

This article discusses how Bayesian methods improve confidence in neural network predictions.

A new model enhances trajectory prediction for self-driving cars in diverse conditions.

A method to optimize patient data collection for better health outcomes.

CycleMix enhances AI models by mixing image styles for better performance.

LIAR offers a new way to prune models without retraining, enhancing efficiency and performance.

A new method enhances truth inference in crowdsourcing by focusing on worker behavior.

A new tool to evaluate LLMs in process mining tasks.

A new model harnesses deep learning for better performance in tabular data analysis.

A new architecture to support marine data quality and integration.

RAG combines data retrieval and text generation for better language model performance.

A new framework improves connection between faces and voices, especially in noisy settings.

This article discusses a method for better predicting time series data uncertainty.

MetaAug reduces overfitting in PTQ through innovative data transformations.

A look at how neural networks combine features to represent complex relationships.

A new method that enhances LLM performance while reducing resource use.

A new approach for understanding neural networks through semi-synthetic transformers.

ChatQA 2 enhances performance in processing long texts and retrieval tasks.

A new method improves synthetic data for tissue sample analysis.

A new theory reveals insights into continual learning and forgetting in AI.

A robust dataset for training advanced chat-based AI systems.

New dataset aids AI in improving emergency patient care and decision-making.

Exploring the role of tensor networks in enhancing quantum machine learning.

A new method improves dataset distillation, enhancing model training efficiency.

A study on improving TTA methods for real-world data variations.

Exploring how DNNs recover functions in overparameterized settings.

A new dataset and model improve sign language communication.

Learn how feature inversion and maximum entropy help recover original data.

New methods reduce communication costs for faster data science computations.

A novel method improves learning new classes while retaining old knowledge.

A study on the effectiveness of different DLWP models in weather forecasting.

Introducing MC-PanDA for improved panoptic segmentation in challenging environments.

Examining the impact of model size on data-to-text generation performance.

Smaller models tailored for specific fields, like medicine, show great potential.

A new method enhances video understanding by separating dynamic and static features.

Introducing 360VFI for improved 360-degree video quality and experience.

Combining TTS and real data enhances voice recognition systems effectively.

Learn how early exiting improves efficiency in Natural Language Processing models.

New models provide insight into complex systems by focusing on individual components.

A look at error bounds and reliable compression methods in scientific research.