Latest Articles for Machine Learning

MBAPPE enhances decision-making for autonomous vehicles using learned behaviors.

A study on parallelizing neural networks using the Go programming language.

BETULA enhances hierarchical clustering, making it faster and more efficient.

A method to improve continual learning in machine learning through streaming data.

Headless language modeling offers efficient training techniques for improved language understanding.

This article discusses using diffusion models with discrete data through the probability simplex.

Using machine learning to forecast employee job changes for better HR planning.

A novel approach to enhance image retrieval effectiveness and training.

Astrocytes enhance the performance and fault tolerance of Spiking Neural Networks.

A new method for accurate pitch detection in music and sound.

A look at challenges in Federated Learning from data reconstruction attacks.

A new method combines video saliency prediction and detection, improving performance.

This study compares performance across various language models in answering complex questions.

A method enabling machine learning on encrypted data to protect user privacy.

Machines learn from experts to adapt to unpredictable environments.

Deepbet utilizes deep learning for fast, accurate brain extraction from MRI scans.

Study reveals effects of global and rolling shutters on pedestrian detection.

A framework to enhance privacy in recommendation systems while ensuring accurate suggestions.

Testing the strength of NER systems using context-aware adversarial examples.

The Radon-Kolmogorov-Smirnov test enhances two-sample testing in statistics using neural networks.

This study examines LLM capabilities in producing structured data accurately.

Research explores machine learning techniques to study soft material behaviors.

A dataset for analyzing differences in paragraphs across languages.

Researchers use machine learning to enhance gamma-ray data collection with cGANs.

Exploring the role of GNNs in processing point cloud data.

A new algorithm improves speed and efficiency in processing sparse tensors.

Introducing CMI and NCMI for better deep learning performance assessment.

A look at how Contrastive Decoding improves reasoning in language models.

ProSMIN improves model representation without labeled data, addressing key challenges in self-supervised learning.

A new approach to improving traffic speed predictions during extreme events.

A new method enhances efficiency in data collection for scientific machine learning.

Discover methods reducing resource needs for RLHF and enhancing model performance.

Research pushes temporal link prediction using advanced regularisers in knowledge graphs.

A new method improves how robots learn tasks in real-world settings.

A framework using random masking enhances prediction of vehicle and pedestrian movements.

Research aims to enhance cobot safety through innovative control methods.

Exploring the synergy between quantum computing and machine learning for enhanced problem-solving.

A new method improves image similarity across diverse datasets.

A new method uses LiDAR data for better 3D object detection.

Robots learn human goals through active inverse learning for safer interactions.