Latest Articles for Machine Learning

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.

This article reviews the robustness of CLIP in various challenges.

This study examines machine learning techniques for predicting solar flares and their impact on technology.

New methods enhance accuracy in noisy speech recognition using large language models.

A new approach reduces bias in machine learning models with class imbalance.

This article examines the structure and representation of numeric properties in language models.

A novel approach to enhance summarization skills in smaller models using larger models.

A study shows how task difficulty affects training in diffusion models.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

SCILLA offers a new way to create detailed 3D urban models from 2D images.

Learn how Histogram Loss improves regression predictions by modeling uncertainty.

BOSS Net enhances the study of star properties using machine learning.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

Analyzing hen sounds helps improve their health and farm productivity.

Scientists use machine learning to uncover obscured AGNs in galaxies.