Latest Articles for Machine Learning

CatCode aims to improve evaluation of LLMs in coding and language tasks.

New methods enhance accuracy and efficiency in matching geometric 3D shapes.

Using Spa-Net to improve di-Higgs event analysis and classification.

NPHardEval4V assesses reasoning capabilities of multimodal large language models.

A fresh approach to combine different models effectively for better performance.

VCoTTA enhances machine learning adaptation with effective uncertainty management.

Examining federated unlearning and its challenges in machine learning privacy.

This study improves maintenance scheduling using deep reinforcement learning for industrial machines.

This article explores how paraphrasing improves language model performance in text classification.

This study examines errors and variations in labeled data for machine learning.

Exploring the inaccuracies in large language models and their implications.

Discover how language aids robots in learning tasks effectively.

A new method enhances graph model performance using hierarchical environments.

A new method combines prediction and optimization for better decision-making under uncertainty.

Generative AI offers innovative tools for data analysis in geoscience.

Research shows how LLMs can expose training data, raising privacy concerns.

A concise look into the minimum enclosing ball problem and its applications.

A new method enhances image editing with text prompts using self-attention.

A new method combines neural networks and domain decomposition for solving complex PDEs.

A novel approach improves efficiency in spiking neural networks without task dependency.

BTSbot automates the classification of bright transients from ZTF data, enhancing efficiency.

A new method improves the training of models combining image and text understanding.

A new method enhances diffusion models by using nearest neighbour score estimation.

A review of deep learning's role in predicting software performance configurations.

Combining rule-based systems and deep learning for better understanding of relationships.

Gaussian processes offer versatile modeling tools for various data analysis applications.

Robots can navigate better by actively seeking information about their surroundings.

CLEVR-POC dataset enhances reasoning in visual question answering by using hidden object scenarios.

Discover how retrieval-augmented models improve language understanding and response accuracy.

Learn how consistency models improve data generation speed and quality.

Integrating visual data enhances translation technology for better results.

Learn how label flipping attacks threaten URL safety and the new defense strategies.

A new method for improving prompt performance in natural language processing tasks.

MADTP improves efficiency of Vision-Language Transformers while maintaining performance.

A look into the risks of data poisoning in federated learning systems.

This study compares how humans and DNNs learn to recognize new images.

A new model enhances understanding of variable relationships using supervised learning techniques.

ImgTrojan manipulates VLMs using deceptive training data.

A new method improves model performance in unseen data domains.

This article discusses how symmetry influences optimization and decision-making across various fields.