Latest Articles for Data Science

A tool designed to enhance the understanding of geometric data across various fields.

The quest for explainable AI focuses on transparency and trust in decision-making.

Introducing SERT and SST-ANN for better predictions with missing data.

A look at conformal prediction to improve AI reliability.

A new approach predicts lossy compression performance for scientific datasets, improving data management.

Discover how quantum techniques can enhance predictions in banking.

How Gram matrices and normalization layers enhance neural network learning.

Exploring advancements and challenges in generative information retrieval models.

This study assesses middle training methods for improved information retrieval in language models.

A novel approach to improve weakly-supervised learning through innovative boosting techniques.

A new method enhances image learning by reducing visual similarities between pairs.

A new method enhances general audio models for effective speech recognition.

New techniques enhance expert selection in machine learning models for better performance.

A new method enhances problem list generation from hospital progress notes.

This study evaluates the calibration of probabilistic predictions in neural regression models.

AFFJORD enhances generative modeling with powerful new techniques.

A new method for acoustic modeling integrates neural networks with scientific knowledge.

A new method improves text classification accuracy with minimal labeled data.

Innovative framework enhances knowledge graphs for better task performance.

New methods enhance entity alignment in knowledge graphs using similarity flooding techniques.

A new method called DEAT aims to enhance adversarial training effectiveness.

A look into the learning dynamics of two-layer networks and their applications.

Quick-Tune simplifies the process of choosing and tuning pretrained machine learning models.

This research addresses forgetting in AI through continual learning in spoken language understanding.

This study investigates word alignment challenges and optimal transport solutions.

A novel approach combines cloze tasks and data augmentation for improved QA performance.

A new model improves recommendations by using both positive and negative feedback.

This article examines efficient methods for debiasing language models.

New methods improve model robustness against adversarial attacks using tabular data.

Improving language models' ability to answer complex questions using knowledge graphs.

A look at how counterfactual data can reduce bias in machine learning models.

A new two-step method enhances climate models for better predictions.

Learn how federated learning can enhance machine learning while protecting data privacy.

This method improves VQA performance using unlabeled images for question generation.

Research shows large language models can be trained to mimic human decision-making.

DIFT leverages diffusion models to find image correspondences without supervision.

A new framework makes multivariate time series classification results easier to understand.

GEO-Bench aims to advance foundation models in Earth monitoring tasks.

A new approach for handling incomplete and noisy data in research.

Evaluating natural language inference to tackle hate speech in multiple languages.