Latest Articles for Machine Learning

This article explores how teaching AI with easy tasks leads to better performance.

Machine learning improves efficiency and accuracy in continuous beam structural design.

Investigating model compression methods to improve efficiency and defenses against attacks.

A new Bayesian framework improves image quality and estimates uncertainty.

A new method enhances computer model performance despite incomplete data.

RAIN-GS improves 3DGS performance with better initialization and filtering techniques.

A new approach to linear bandits addresses feedback noise for better decision-making.

AVIBench tests LVLMs to ensure they withstand adversarial visual instructions.

SELECTOR utilizes diverse data to predict cancer patient survival accurately.

Improving model efficiency with new active learning techniques for incomplete data.

A new method blends deep learning and constraint programming to enhance job scheduling.

A new method enhances trust in predictions for businesses using counterfactual explanations.

Switch-DiT improves image generation through innovative denoising task relationships.

Discover new strategies for optimizing job shop scheduling with self-supervised learning techniques.

A new method enhances probability accuracy in language models without extra data.

This article discusses methods to improve deep learning's resilience to adversarial examples.

New methods enhance model learning by including slower devices in federated learning.

A novel method helps AI learn diverse skills for various challenges.

Improving robustness against adversarial attacks in vision-language models.

TaxoLLaMA enhances understanding of word meanings and relationships for better language processing.

A comprehensive dataset for improving robotic grasping techniques across various grippers.

A new method enhances object detection by addressing domain shifts using attention mechanisms.

A novel approach improves shape representation in complex 3D data.

Examining PEFT methods in LLMs for code generation and summarization in R.

This study explores glueballs and their potential role in dark matter.

A new method enhances matching across visible and infrared camera images.

A novel approach to find backdoor samples without needing clean data.

New method integrates space group constraints for accurate crystal generation.

A new method enhances training speed and reduces memory use for language models.

EXPLORER combines neural and symbolic reasoning to enhance AI in text-based games.

Study reveals factors affecting single-layer GCN's performance on various data models.

New watermarking method strengthens protection of machine learning models against theft.

AirPhyNet blends physics and data for better air quality forecasts.

InterLUDE improves model performance using labeled and unlabeled data.

A new method enhances molecular simulations by targeting areas of uncertainty.

PALM improves computer vision models' adaptability in changing environments.

A study on HDMap generation using SDMap prior and its performance evaluation.

FeatUp improves image feature resolution, enhancing performance in computer vision tasks.

FuseFL enhances fault localization by combining various data sources for clearer explanations.

Introducing DOPE: a robust method to improve treatment effect estimation using observational data.