Latest Articles for Data Science

COLOR framework enhances accuracy and efficiency in querying graph data.

This study investigates memory efficiency in large language models through low-rank decomposition.

VSGD combines traditional methods with probabilistic modeling for better deep learning optimization.

A new dataset ProCIS enhances conversational information seeking.

Exploring the benefits and challenges of shared variable embeddings in machine learning.

HuBMAP aims to create a detailed model of the healthy human body.

Introducing CLAMP, a new method to enhance continual learning across various domains.

Context Neural Networks improve forecasting accuracy by using related time series insights.

A new approach to enhance contrastive learning through adaptive data augmentation techniques.

This paper discusses methods to learn system dynamics using limited and noisy data effectively.

A new approach to improve document retrieval through optimized indexing.

New model allows precise control of voice qualities while retaining content.

A fresh approach to enhance self-supervised learning using binning in tabular data.

This article examines the impact of neural networks on data shape and classification.

Introducing a fixed-point method for learning causal relationships without complex graphs.

WISP Survey collects vital data on galaxy formation and evolution across cosmic time.

Advancements in explainable AI enhance understanding of complex ML models.

Explore gradient flow techniques to enhance ResNet training and performance.

Explore the principles and applications of Kernel Ridge Regression in various fields.

AI systems are increasingly aligning in how they represent data.

A fresh method tackles long-tail recognition issues in machine learning with improved data handling.

Explore the effectiveness of SVRG in solving complex, noisy data challenges.

A new method for accurate blood pressure readings using PPG signals without cuffs.

This study examines when monochromatic subgraph counts show normal distribution patterns.

A new method speeds up training of complex models.

Innovative methods in counting subgraphs using graph kernels for various applications.

A method for effective and controlled data transfer between different domains.

A new tool enhances data access for health researchers.

A simulation model reveals effective strategies for resilient supply chains during pandemics.

Typhon improves code suggestions for developers using Jupyter Notebooks through advanced techniques.

A method to improve safety while maintaining performance in large language models.

Exploring efficient methods for complex optimization problems using quantum computing.

This study presents an efficient method for balancing updates in GAMLSS using adaptive step lengths.

Introducing a method to optimize conflicting objectives efficiently.

A new method enhances the reliability of GCNs against adversarial changes.

XDomainMix improves model performance by enhancing feature diversity in domain generalization.

A method for reducing data complexity while improving model accuracy.

TSLANet offers a fresh solution for analyzing time series data with improved accuracy.

This paper discusses the need for explainability in AI text generation models.

Enhanced methods for estimating cyclone wind speeds using satellite data.