Latest Articles for Machine Learning

A new method for fine-tuning large vision models on smaller devices.

A machine learning tool enhances our view of dark energy and gravity in the Universe.

Examining how hyper-parameters shape the effectiveness of deep RL agents.

A new technique enhances graph neural networks performance on large datasets.

A new training approach boosts medical language models' performance across diverse tasks.

ZEAL offers an automated approach to assess surgical competency through video analysis.

This research focuses on improving named entity recognition through varied data representation strategies.

Data balancing is crucial for fairness and accuracy in machine learning models.

Learn how transfer learning aids in classifying dynamic data effectively.

A new method improves the restoration of images with damaged networks.

This article examines how LLM-generated embeddings relate to key tokens in texts.

New algorithms for extracting signals from complex noise scenarios.

Point-MAGE improves how point clouds are generated and understood.

This study assesses lightweight embedding methods for effective recommender systems.

Modern imaging and machine learning improve detection of particle decays.

We develop methods for refining models using noisy and indirect observations.

A benchmark tool advances active learning strategies in machine learning.

Techniques to enhance performance in training models with differential privacy.

New kernels enhance data analysis through complex function interactions.

Research on improving knowledge transfer in resource-limited smart devices.

New method generates accurate captions by merging images and text.

A look at the TIDMAD dataset's role in dark matter research.

A new model improves therapeutic antibody design efficiency and accuracy.

EngineBench offers real data to improve airflow understanding in combustion systems.

VOCs provide a streamlined way to predict future video states efficiently.

Examining the unusual attention behavior in Transformer models.

New algorithm improves clustering by combining features and spatial positions.

This article presents a method to protect personal data in machine learning systems.

Can self-play enhance language models' performance in cooperative settings?

RAIL merges continual learning with vision-language models for better adaptability.

Improving data processing through knowledge sharing across different data types.

Dysca introduces a new way to assess LVLM performance using synthetic data.

WV-Net model improves analysis of SAR images for ocean monitoring.

New algorithms improve decision-making in online knapsack problem using succinct predictions.

How federated learning faces privacy threats while striving for data security.

This paper explores EM algorithm behavior in mixed linear regression for improved model accuracy.

A new method enhances accuracy in question-answering for black-box language models.

GeoHOI enhances human-object interaction detection using geometric features for improved accuracy.

This work improves sampling methods for complex systems stuck in certain states.

This article presents a dual encoder system for effective speech representation learning.