Latest Articles for Data Science

A novel method to improve Bayesian network structure using multiple language models.

This article examines how layer changes impact transformer model performance.

This technique improves prediction accuracy by quantifying uncertainty effectively.

ACoNE offers an efficient model for generating explainable query embeddings.

A new dataset enhances machine speech for Mandarin, aiming for natural expression.

Advancements in machine learning enhance tracking of Earth's orbital objects.

Introducing a new method to enhance efficiency in large language models through pruning.

Explore MLOps practices in large companies and their real-world challenges.

Introducing STD-LLM for improved forecasting and imputation in dynamic systems.

Exploring new techniques in masked image modeling for improved self-supervised learning.

FRBs provide fresh insights into the universe's expansion rate and Hubble constant.

Learn how mini-batch SGD improves neural network training and feature selection.

Learn about self-supervised methods for selecting key features in complex datasets.

Combining multiple models leads to more accurate predictions.

Examining dynamic methods for optimizing machine learning model training.

Learn key concepts and techniques in data compression for efficient storage and transmission.

Using symmetry to enhance learning efficiency in aircraft control algorithms.

LeanQuant improves model size and quality through advanced quantization techniques.

Introducing a new method for sampling from complex probability distributions in Bayesian inference.

Researchers find ways to reduce intent detection model sizes while maintaining accuracy.

Highlighting efforts to improve Arabic NER through WojoodNER initiative.

New tools for Arabic dialects improve banking communication and customer service.

A new method improves guidance in diffusion models using reinforcement learning.

Synthetic data generation aids healthcare research while protecting patient privacy.

A new method improves 3D scene understanding by linking images, texts, and 3D points.

A new approach for finding leading eigenvectors in complex matrices.

Discover how Routing-by-Memory enhances MLP performance in graph neural networks.

A look at how counterfactuals can improve bank failure predictions.

This article discusses methods to enhance neural networks through equivariance and symmetry.

A new method provides performance ranges for image segmentation in medical applications.

Introducing jointLCA, a method for better understanding multiview data connections.

Scientists develop a rapid approach to assess protein fitness effectively.

Study analyzes text classification methods for subjective and objective content in five languages.

Examining how data imbalance affects machine learning model performance.

A new method enhances camera-based 3D detection using LiDAR and accurate labels.

New features enhance LiDAR segmentation accuracy for safer autonomous driving.

A new dataset to improve architectural floor plan generation methods for complex buildings.

A new approach enhances predictions for new items using unique interaction patterns.

A new approach enhances multi-modal learning by addressing data contribution imbalances.

Plain-Det offers a flexible solution for effective multi-dataset object detection.