Latest Articles for Data Science

ShrinkE provides a new way to represent complex relationships in knowledge graphs.

A new model offers a simpler way to build deep neural networks.

Studying how biases in training data influence model behavior and performance.

C-MCR simplifies multi-modal learning by connecting existing knowledge efficiently.

A study on automating named entity recognition in Indian legal texts using AI.

A new method for filling gaps in multi-dimensional data.

A fresh approach to interpret and improve deep neural networks through graphical models.

Learn about efficient methods for calculating Personalized PageRank Vectors in large graphs.

CRAN Task Views provide R users with organized tools for specific tasks.

A new method enhances domain adaptation by analyzing data differences more effectively.

A new method improves image recognition performance on rare categories.

Exploring how GANs can enhance medical imaging data.

This study examines how VSSL methods react to various distribution shifts.

Learn how this method aids in creating predictive models from complex data.

A new method enhances model performance while reducing size and memory needs.

Combining multiple models can lead to clearer and more accurate text generation.

A novel method enhances language models' commonsense reasoning capabilities.

A fresh framework for ensuring fairness in machine learning clustering.

This article examines how model scaling impacts parameter-efficient tuning methods.

A look into key concepts and applications of optimization.

This research presents a method to balance creativity and factual accuracy in language models.

Study explores how classification metrics impact cosmological analysis of supernovae.

Polyglot-Ko aims to create high-quality language models for Korean speakers.

V-GLOSS improves visual descriptions for better image classification and generation.

A method that separates shared and unique features in diverse data sources.

RVS simplifies image searching for fashion items with user-defined preferences.

A new method enhances market simulation accuracy by calibrating agent behaviors.

A simple method improves efficiency in retrieval systems by simplifying query processing.

A method to limit harmful content exposure on digital platforms through graph analysis.

DeepStay uses weakly supervised learning to enhance the identification of stay regions.

A novel approach combines NMF and SDP for effective clustering.

This research redefines active learning by using nearly orthogonal bases for improved efficiency.

A new method enhances AI's ability to explain decisions using limited data.

A new method enhances large language model training efficiency and performance.

Harnessing machine learning to optimize gravitational wave detection using squeezed states.

Research explores how words create mental images using advanced technology.

A new method boosts information retrieval efficiency with fewer data needs.

A straightforward guide on gradient descent and its optimization methods.

A tool designed to enhance the understanding of geometric data across various fields.

The quest for explainable AI focuses on transparency and trust in decision-making.