Latest Articles for Data Science

Discovering efficient fine-tuning methods for smarter AI language models.

Explore how different connections shape networks using causal inference.

Learn how low-rank layers improve neural networks' generalization and performance.

Innovative methods improve data grouping with deep learning and K-means clustering.

Discover how technology personalizes your media and shopping experience.

FWA improves machine learning speed and generalization through careful weight averaging.

A new approach enhances access to Vietnamese legal information.

Discover how ROSE improves data selection for better language model training.

ModPrompt helps object detectors adapt to new images effectively.

Learn how contextual bandits enhance payment processing efficiency.

A fresh approach to improving image recovery without extensive training.

Are large language models reliable evaluators? Exploring consistency in their assessments.

A new model improves prediction accuracy and explainability in relational data.

Scientists tackle noise in complex data representation using innovative cleanup methods.

Exploring the relationship between orbits and group identification in mathematics.

Learn how unimodal maps help us predict amidst noise.

Discover how data quality enhances recommendation systems for better user experiences.

TDAvec simplifies Topological Data Analysis for effective machine learning applications.

Learn how to simplify Gaussian processes for effective predictions without losing essence.

Learn how computers identify human emotions through facial expressions.

Discover the basics of knot theory and Khovanov homology.

Scientists use new techniques to create images of galaxies based on redshift data.

CoRNStack streamlines code retrieval, making development more efficient and less chaotic.

A new model that predicts future values efficiently using past data.

Researchers aim to reduce sycophantic behavior in AI language models.

A simple guide to understanding the Zig-Zag algorithm and its benefits.

Researchers enhance how machines comprehend long and high-resolution videos.

Adaptive ETF and ETF-Transformer improve neural network training efficiency and accuracy.

AdamZ enhances model training by adapting learning rates effectively.

Learn how researchers uncover the links between data pieces.

Learn how to improve Graph Neural Networks by correcting harmful data.

Exploring how data characteristics affect self-supervised learning performance.

Discover how scientists analyze cosmic waves and the tools they use.

SEED4D creates synthetic data for smarter self-driving technology.

Machines learn efficiently by selecting the most useful data for training.

Learn how PAR helps protect AI models from hidden threats.

An overview of Hadamard matrices and their applications in various fields.

Learn how the POBF framework transforms image recognition with limited data.

NucleoSeeker helps scientists curate high-quality RNA structure datasets for better predictions.

Using GANs to digitize fragile handwritten music sheets for better accessibility.