Latest Articles for Machine Learning

New approach improves stance detection accuracy across diverse topics.

Research highlights effective methods for recognizing emotions in speech using embeddings.

A new benchmark toolkit aids in designing nanophotonic devices using AI and ML.

Examining how manipulation affects the interpretation of deep neural networks.

Ind-KNN enhances private predictions while safeguarding individual privacy in data-driven applications.

Introducing an efficient method for transferring machine learning knowledge across environments.

A new hybrid method improves mutual information estimation by combining generative and discriminative techniques.

A new method for enhancing image quality in challenging conditions.

A novel approach using instance-wise data augmentation for better adversarial model robustness.

This study explores the relationship between galaxy dynamics and the radial acceleration relation.

Training strategies impact language models' ability to retain knowledge over time.

New method improves finding solutions for complex problems using past data.

Exploring a dual-layer system for efficient machine learning control.

A look into masked pre-training and its connection to model performance.

This article discusses a new approach for classifying neurons using deep learning.

Discover how E-PANNs improve sound recognition efficiency.

New methods improve graph-based semi-supervised learning efficiency and speed.

Research shows GAP can boost language model performance using random text.

A new method enhances Vision Transformers for better image understanding with fewer resources.

Learn about efficient ways to prune neural networks for better performance.

Researchers find simpler models can compete with deeper networks in performance.

New methods improve the racing performance of self-driving cars using deep learning.

A look at the effectiveness of certified defenses versus adversarial training in machine learning.

Learn about clustering and its importance in analyzing data effectively.

Comparing NF4 and AF4 for optimizing quantization in machine learning models.

A method to automate use case diagram generation from user stories.

Autonomous Neural Dynamic Policies enhance robots' learning through imitation and adaptability.

A new framework improves graph representation using self-supervised learning.

New methods enhance detection and classification of software vulnerabilities.

Utilizing Large Language Models to optimize DNNs for small devices.

Improving evaluation methods can enhance event extraction reliability and model performance.

A new model seeks to clarify the inner workings of deep neural networks.

Combining self-supervised and active learning enhances multi-label classification in remote sensing.

A new method enhances machine learning models to handle unknown classes during testing.

Introducing a model that enhances quantum data processing through better state management.

This study examines how advanced language models enhance speech recognition accuracy.

A new method improves language model reasoning by managing complex tasks.

Learn how neural networks analyze data structured as graphs.

The HSGE model improves context understanding in conversational AI.

Study assesses how algorithms help identify underperforming areas in machine learning models.