Latest Articles for Data Science

New method improves decision tree model security and verification against evasion attacks.

A new method for better sentiment analysis using BERT wordpieces.

This study examines how syntax improves relation extraction without extra data.

New methods improve hyperparameter tuning in machine learning.

Researchers enhance local climate forecasts using advanced deep learning techniques.

New deep learning model improves detection of exoplanets through light curve analysis.

SDC-UDA improves accuracy in medical image segmentation across different scanning techniques.

A new dataset for Relation Extraction across 27 languages offers fresh insights.

Introducing a novel model for efficient graph clustering using geometric principles.

A system that predicts ingredient quantities for better cooking results.

This study examines random smoothing techniques to improve machine learning model performance.

This article reviews the effectiveness of transformer dynamics models in various control scenarios.

A study on creating structured instructions through hierarchical task decomposition.

New methods improve data analysis in heterogeneous graphs for better insights.

OpenShape improves recognition and analysis of 3D shapes using combined data sources.

This study introduces prompt flatness as a measure for evaluating prompt performance.

A new method enhances predictions from tabular data for various industries.

A new three-stage framework enhances the accuracy of question answering using text and tables.

Introducing a model that effectively handles positive and negative integer time series data.

Saliency Diversified Deep Ensemble improves model diversity and performance in deep learning.

GELU offers advantages over traditional activation functions in neural networks.

XuanYuan 2.0 is the largest Chinese chat model focused on finance.

A new framework improves instruction data creation for language models using unsupervised knowledge.

Examining generative retrieval's performance on large document datasets.

This dataset aids researchers in locating dataset names in scientific papers.

New framework enhances clustering methods for better predictions in data analysis.

Combining training techniques improves AI performance in multiple languages.

A new approach to estimate extreme value distribution parameters using deep learning techniques.

A look at performance modeling and its role in deep learning systems.

A new method reduces errors in tree pruning under mixed data distributions.

This study reveals how knowledge transfer enhances translation quality for low-resource languages.

This article discusses strategies for placing observations to improve model estimation.

Adapting to limited data can enhance disease detection in crops.

New model GFST-WSF enhances wind speed predictions for reliable energy management.

A novel approach to help language models identify common ground among differing views.

Introducing Inclusive Learning from Human Feedback for improved language models.

GraVAC optimizes gradient compression for faster deep learning model training.

Enhancing fairness in recommendation systems with new models and techniques.

A new method improves predictions for large graphs while reducing memory use.

A new method enhances language models' ability to learn continuously.