Latest Articles for Machine Learning

Introducing a simpler and effective approach to geo-localization from different image perspectives.

New methods improve voice authentication and detection of fake voices.

This article discusses how quantization improves deep learning models affected by noisy labels.

SACPlanner uses reinforcement learning to help robots avoid obstacles efficiently.

Introducing a method to learn graph structures from observations effectively.

Researchers enhance machine learning for physical modeling using port-Hamiltonian systems.

New methods enhance Graph Neural Networks by leveraging geometric structures.

GAMs provide flexibility for modeling complex data relationships across various fields.

UniDetector revolutionizes object detection by recognizing items in diverse environments.

A new method enhances understanding of autoencoder outputs.

New methods improve the accuracy of device identification for better security.

New strategies for balancing detailed and simple annotations in dataset creation.

This method enhances machine learning by balancing new and old knowledge.

New methods improve recognition of unseen classes in 3D point cloud data.

A new approach to enhance real-time ML predictions by simplifying processes.

A method to reduce crosstalk errors in quantum systems using machine learning.

New method improves query answering using relational patterns in knowledge graphs.

A novel method enhances crowd counting accuracy through advanced density map techniques.

Exploring how Bayesian inference adapts to neural networks with finite widths.

Q-HyViT improves model accuracy while reducing resource demands in hybrid vision transformers.

A look at improving device access in mobile networks using smart techniques.

Exploring curvature regularization to improve model performance in imbalanced datasets.

A study on how GNNs reason with knowledge graphs and capture logical rules.

A study on machines answering questions in multiple languages using images.

Learn how split conformal prediction improves data reliability and decision-making.

Study shows optimized imaging techniques enhance COPD detection accuracy using machine learning.

A new method improves efficiency in analyzing material behavior across multiple shapes.

A new method refines pseudo-labels for better model performance in semi-supervised learning.

Introducing a semi-Bayesian method for better goodness-of-fit testing in complex models.

A new method enhances reliability in detecting anomalies within wireless networks.

A method to identify and address biases in machine learning models.

CARP leverages CNNs to advance protein sequence analysis effectively.

MELTR improves video model performance through automated auxiliary learning.

A new adversarial training method enhances accuracy in Conditional Neural Processes.

Discover the benefits of using PanIC for model selection in statistics.

Robots can learn better in new environments using Planning Exploratory Goals method.

This study examines the performance of ELMo and DistilBERT for text classification tasks.

A new method enhances recognition of surgical actions using self-distillation and multi-task learning.

A new framework enhances regression methods for forecasting rare occurrences.

This study enhances MRI analysis for vestibular schwannoma using machine learning.