Latest Articles for Training

New methods improve machines' ability to create images from textual prompts.

A model for consistent photo quality across different smartphones.

FIITED reduces memory usage while maintaining performance in recommendation models.

Investigating HRH issues to improve Morocco's healthcare system.

New method improves AI model performance without human labels.

This study enhances how language models handle math reasoning tasks.

Addressing the urgent need for Deaf awareness in healthcare education.

Enhancing LMMs to reason and ask questions for better accuracy.

Computers are learning to separate rhythm and harmony in music for creative applications.

Orion-14B excels in understanding and generating multilingual text with 14 billion parameters.

Metagenomics offers insights into pathogen detection and treatment resistance.

A new model turns cooking recipes into graphs for easier understanding.

Explore SCORPION, a dynamic Cyber Range for cybersecurity training and skill development.

Study explores factors affecting health workers' use of DHIS-2 platform in Burundi.

Exploring how neural networks can mimic human shape recognition skills.

tGAN enhances cell image analysis through synthetic data generation.

EnCodecMAE combines self-supervised learning and audio codecs for improved audio task performance.

PSSR2 enhances image quality and accessibility for microscopy research.

NISF enhances anatomical shape segmentation in medical imaging with improved accuracy.

Analyzing GPT-NeoX and LLaMA models for materials science applications.

This method accelerates training for sequential models without sacrificing accuracy.

New method improves emotion preservation in voice conversion processes.

A new method improves deep learning applications for complex equations in science.

New systems improve translation from text to spoken language without intermediates.

A new model aims to improve forecasting across diverse data types.

Research focuses on improving training efficiency in dynamic graphs.

This research examines the efficiency of backward computation in training language models.

Cannikin improves DNN training efficiency in diverse machine environments.

A new method improves text generation speed and quality in large language models.

New methods help robots explore unfamiliar environments without prior maps.

Simulated Overparameterization enhances model training while maintaining efficiency.

Soft prompts enhance speech recognition technology for better performance in noisy environments.

This article discusses enhancing agent learning in networked environments through a new model.

This study explores training strategies to enhance detection of fake audio.

A new method for generating realistic PBR materials using RGB image models.

PathoLM model enhances accuracy in identifying harmful pathogens using advanced techniques.

A simple comparison between LLMs and a two-player game reveals insights into their training.

New method improves language models' ability to avoid unwanted topics.

Intra-Fusion combines neurons, making neural networks smaller and more efficient.

Exploring how machines create images from text prompts and align with human preferences.