Latest Articles for Machine Learning

Learn how PQC strengthens federated learning against quantum threats.

SGFormer simplifies graph learning for efficiency and scalability.

An overview of quantum kernel methods and their impact on machine learning.

New method improves sampling efficiency using energy functions.

A look at linking user profiles across various social platforms.

Study reveals potential in reducing event data for better efficiency.

ReCLAP enhances audio classification with detailed prompts for better accuracy.

A new method enhances node selection for graph domain adaptation.

XSub exploits explainable AI to enhance adversarial attacks, raising security concerns.

New method enhances object detection using interactive masked image modeling.

A new approach to federated learning that improves accuracy and resource use.

A new method helps robots learn skills by observing human behavior.

Using weaker language models can improve AI alignment efficiently.

A new framework improves predictions by addressing uncertainty in data.

MambaFoley revolutionizes Foley sound synthesis with improved timing and realism.

A study on the effectiveness of Foundation Models in satellite data analysis.

New algorithms enhance the computation of modified Bessel functions for various applications.

A new approach to signal processing using structured orthogonal dictionaries.

A new method enhances word meanings from language models using autoencoders and generated data.

A new model enhances geological feature interpretation in seismic data.

Exploring quantum computing's role in enhancing anomaly detection for cyber-physical systems.

A new framework improves atom representations, enhancing predictions in material science.

AAGCN improves how GNNs learn from complex data structures.

Exploring methods to manage label noise in Gradient Boosted Decision Trees.

A new method aids algorithm selection in time series classification while preserving data privacy.

A guide to promoting ethical practices in machine learning research.

DICS model enhances image classification by focusing on key features.

Exploring how quantum concepts can advance machine learning methods.

A new method improves large language model alignment with human input.

This article examines key factors in preference dataset quality for better reward model training.

A new method helps models adapt to unexpected real-world data.

GLCONet improves the detection of camouflaged objects using local and global features.

New algorithms improve decision-making with multiple rewards in reinforcement learning.

A new method enhances how machines analyze images using text.

This article evaluates sentiment and meaning in image captions.

A new method enhances image clarity and recognition in noisy environments.

DFMLU streamlines building machine learning models, making it easier for developers.

Deep learning models face significant security challenges that need addressing for safe use.

A comparison of methods to personalize large language models for better user responses.

This study examines performance and conditions for quantized neural networks under fixed-point arithmetic.