Latest Articles for Data Science

MinMax learning offers stability and efficiency in training neural networks.

New toolkit improves access to synthetic data for model training in IR.

This study focuses on classifying and segmenting 3D buildings effectively.

Causal inference methods evolve to tackle challenges in healthcare, education, and e-commerce.

CML-TTS enables better text-to-speech systems across seven languages.

Examining how overparameterized models can learn and generalize in multiclass settings.

Study reveals insights on summarization and question answering in biomedical texts.

Examining square-root Lipschitz loss for improved learning algorithm performance with noisy data.

A look into the importance of continual learning in AI systems.

New approach improves GNN performance on complex data relationships.

PIGEON improves image location guessing using innovative methods and broader data sources.

Small biases in AI can lead to major unfair outcomes.

A new dataset tests AI’s ability to reason in real-life situations.

Learn how distribution shifts affect machine learning models and their effectiveness.

GLRU optimizes machine learning model updates for changing datasets.

Research on improving handwriting recognition models for diverse writing styles.

A novel approach to boost NER performance through advanced data augmentation techniques.

Research on biosimilars and machine learning reveals new patient outcome patterns.

Introducing PID and GPIDE encoders for improved decision-making in reinforcement learning.

Exploring how curvature relates to memorization and overfitting in deep learning networks.

This article explores the link between lognormal distributions and mutual information analysis.

A new model improves relation extraction from structured data using neural networks.

Generative models enhance accuracy and reduce costs in weather prediction.

Exploring the memorization and generalization capabilities of quantum neural networks.

Using AI to improve translation for low-resource languages.

MoP-CLIP improves learning models in changing data environments.

A new method reduces the cost of training large models in machine learning.

EgoVLPv2 integrates video and text for improved machine learning performance.

BLUEX offers a rich resource to evaluate language models in Portuguese using entrance exam questions.

Quantum circuits are reshaping machine learning with efficient gradient calculations.

A new method improves prediction models using structured data.

This study presents a model for classifying human values in written content.

MoMS-Net improves mass spectra prediction, enhancing molecular identification accuracy.

A new method uses quantum neural networks to estimate quantum mutual information efficiently.

New methods enhance the calculation of invariant subspaces in numerical linear algebra.

A new approach improves translation customization for varied user needs.

This method aids in interpreting high-dimensional data patterns effectively.

Exploring the role of time horizon in understanding expert behavior.

A new approach enhances anomaly detection without labeled data.

Research introduces GPT-Negochat for effective real-time agreement tracking in negotiations.