Latest Articles for Data Science

A study on using transformers for effective music tagging and representation.

SyllabusQA offers insights for automated question answering in education.

Using approximate losses and early exiting to optimize training time for models.

New deep learning model enhances organ segmentation accuracy in medical imaging.

FS-PLS simplifies diagnostics by selecting fewer, key biological features.

A new method enhances active learning efficiency in machine learning.

This study uses machine learning to improve understanding of neutron star equations of state.

A new method streamlines pruning of neural networks for improved performance.

New method enhances transformer models for adapting to changing data streams.

Introducing Directional Graph Attention Network for improved node learning in complex graphs.

A novel approach to graph domain adaptation without needing labeled data.

A new method for comparing temporal graphs efficiently.

A new framework enhances graph pre-training by selecting and weighing tasks effectively.

A look at RAG and fine-tuning methods for enhancing LLMs' performance on rare topics.

Learn how causal isotonic calibration enhances treatment effect predictions across various fields.

A new method simplifies complex multiscale problems using gradient descent.

A new method improves solving complex equations using machine learning.

Exploring the effectiveness of real vs. synthetic data in time series models.

Learn how data analysis impacts organizational decisions and drives efficiency.

A new method improves data cleaning while maintaining fairness in machine learning models.

Research on cyclic precision training enhances efficiency in deep neural network training.

Examining how neural networks prioritize simpler functions over complex patterns.

A method called Masked Thought Fine-Tuning boosts math problem-solving in language models.

New methods improve few-shot learning without relying on source data.

Auxiliary Fourier-basis Augmentation enhances image robustness in computer vision models.

A project to enhance speech recognition across diverse Indian languages.

A new model improves link prediction in multiplex social networks.

A new method improves accuracy in medical diagnoses using diverse data types.

A look at off-policy evaluation techniques and their relevance in decision-making.

Learn methods for effective solutions in convex nonsmooth optimization.

A new dataset enhances summarization accuracy by ensuring proper citations.

A fresh approach to combine different models effectively for better performance.

VCoTTA enhances machine learning adaptation with effective uncertainty management.

A hybrid approach improves forecasting accuracy for complex behaviors in systems.

DualNetGO improves protein function predictions using advanced algorithms and diverse data sources.

A new method combines prediction and optimization for better decision-making under uncertainty.

Research shows LLMs improve information extraction in Alzheimer's care.

A new method enhances diffusion models by using nearest neighbour score estimation.

A review of deep learning's role in predicting software performance configurations.

PHANGS-JWST project reveals data on nearby galaxies and star formation.