Latest Articles for Machine Learning

A new method enhances image selection for ambiguous words using glossary definitions.

A new framework enhances geophysical studies through machine learning integration.

A flexible system for recognizing human actions from various viewpoints.

New methods enhance probabilistic circuits for better predictions and causal inference.

A new framework improves medical image analysis while preserving patient privacy.

Introducing a new approach to machine visual reasoning with transformation-based tasks.

Examining methods for creating smaller, efficient NLP models.

A new model combines image compression and machine perception for improved efficiency.

New models aim to perform tasks without fine-tuning, saving time and resources.

A look into how neurons represent features in large language models.

Exploring the Segment Anything Model's role in WSSS and its impact.

Hierarchical Cross Attention Model improves emotional understanding in diverse communication forms.

A new framework to reduce sensitive data memorization in large language models.

A look at few-shot learning and the role of bootstrapped training in improving models.

Introducing advanced models for classifying positive and unlabeled data across various fields.

Combining traditional tech with new methods for efficient probabilistic computing.

ARBEx improves facial expression recognition for better human-machine interactions.

A study on managing outliers and sizes in clustering for practical applications.

Sharp-SSL improves classification by efficiently selecting important features in semi-supervised learning.

Adversarial attacks can change how translated text is perceived without altering its content.

Machines must manage ethical choices as they gain decision-making roles.

This article discusses class-based influence functions for identifying erroneous data points.

Learn how Bayes Hilbert spaces improve Bayesian statistics with large datasets.

A new method aims to improve safety against face morphing attacks on newborns.

Examining the role of galaxies in revealing cosmic secrets.

A new model using X-ray images aims to improve surgical phase recognition.

Recent techniques provide a clearer view of the M87 black hole.

A study on enhancing sentence boundary detection in multilingual legal documents.

This study proposes methods to enhance document retrieval speed and accuracy.

A new method enhances user-specific outputs from language models through iterative editing.

The adaptive Lasso improves data analysis by managing outliers and providing reliable estimates.

Exploring the efficiency of sparse neural networks and the SRIGL method.

Examining how BERT models handle similarities in language structure.

NeRD improves image quality by transforming raw Bayer patterns into RGB images.

New method preserves emotions while anonymizing faces for better privacy protection.

A look into better ways to estimate cross-correlation.

Machines learn to describe changes between images through Visual Transformation Telling.

A new method uses images with text to improve event detection.

A deep dive into sample complexity and its implications for machine learning predictions.

A new method enhances ChatGPT for clearer text classification decisions.