Latest Articles for Machine Learning

Discover how teleportation can improve optimization and generalization in machine learning.

A competition assessing machine-generated facial expressions in conversations.

New methods threaten cryptographic security through side-channel attacks using machine learning.

Introducing FairLTR-RC to enhance fairness in ranking systems without heavy retraining.

A new method that turns hand-drawn designs into detailed 3D models.

A new method enhances semi-supervised community detection by focusing on node similarity.

Using machine learning to trace unknown printers of historical books.

Exploring strategies to find the best solution for combined functions in optimization.

An automatic method to identify and fix neural network errors efficiently.

Researchers improve predictions of chaotic systems using diffusion models.

A new approach tackles challenges in knowledge graphs, focusing on accuracy and reliability.

LEDO enhances data quality for better opinion-based question answering.

New methods improve model flexibility and performance in audio tasks.

A new method combines code text analysis with runtime behavior for better insights.

New methods improve accuracy and consistency in image recognition models.

New framework improves machine learning efficiency for high-speed data from detectors.

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.