Latest Articles for Data Science

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.

Sparse autoencoders enhance the interpretability of AI systems and their decision-making processes.

Seal-Tools enhances LLM capabilities in complex task management using a diverse tool dataset.

A critical look at the data used to combat online hate speech.

Examining how technology impacts mental health fairness and bias.

Training language models to be more reliable and aware of their limitations.

This article compares LoRA and full finetuning on performance and memory use.

Learn how data augmentation enhances AI model performance by expanding data variety.

A new training method enhances model safety against universal attacks.

PlantCaduceus enhances plant genomics by improving gene understanding and crop breeding.

A new method tackles forgetting and data shifts in machine learning models.

This article examines how noise influences shuffled and unlinked regression methods.

Introducing a new method for efficient training of structured neural networks.

New neural architectures enhance modeling of interacting particle systems.

This article discusses methods to make language model outputs fairer.

Learn techniques to enhance decision-making through simulation optimization in various fields.

New techniques enhance reliability and simplicity in genetic programming models.

A look at how information theory shapes learning in quantum technologies.

A novel approach to influence maximization in complex networks.

Reward centering boosts the effectiveness of reinforcement learning algorithms.

Adapprox reduces memory use in deep learning while maintaining performance.

This paper introduces methods for better temporal fact extraction from complex sentences.

A new approach improves feature learning in neural networks for better performance.

A look at under-bagging as a solution for imbalanced data in machine learning.

A new method for better prompt selection in language models.

A new model enhances the identification of product attributes and values in online listings.

Introducing an efficient approach to optimize memory for LLMs while maintaining performance.

Research shows LLMs can improve performance by learning from other tasks.

Enhancing fairness in AI by involving domain experts in data generation.

A new model improves graph generation with discrete-state and continuous-time methods.

A study on improving user engagement by managing recommendation fatigue.

A new model helps predict chemical reactions using minimal data efficiently.