Latest Articles for Deep Learning

Explore the benefits and dynamics of using Poisson SGD for model training.

A new model combining Unet and TransUnet for improved nuclei segmentation.

Study shows deep learning's role in improving aortic segmentation in CT images.

Introducing SPLITZ, a method for improving AI model stability against adversarial examples.

A new framework improves deep learning training by integrating hardware and task management.

MetaAug reduces overfitting in PTQ through innovative data transformations.

SparseCraft reshapes 3D modeling using fewer images for better results.

Exploring how DNNs recover functions in overparameterized settings.

DeepLabv3++ model improves accuracy in colorectal cancer screening.

New method enhances deep learning models for limited-resource devices.

New methods improve image recovery from blurriness with deep learning techniques.

GSN combines dictionary learning and graph techniques for improved medical image classification.

A new method enhances object detection in remote sensing images.

CLP transforms molecular data into strings to enhance drug discovery.

Enhancing deep learning techniques for better analysis of uranium ore concentrates.

Exploring how dataset diversity impacts deep learning model performance.

This study enhances ultrasound fetal head measurement using deep learning techniques.

A new method enhances image segmentation using SAM and composable prompts.

A new technique enhances testing for model loading in deep learning compilers.

Channel-Partitioned Attention Transformer enhances image detail and clarity.

A new method improves superpixel segmentation in 360° images using deep learning.

MSA Net improves accuracy in medical image segmentation using innovative techniques.

A method to improve video analysis by focusing on key frame regions.

MIST offers a unified toolkit for medical imaging segmentation, enhancing comparison and evaluation.

New neural network architectures improve stability and accuracy in solving partial differential equations.

Techniques for managing hyperparameters and model weights for improved performance.

A self-supervised approach improves landmark detection with few labeled x-ray images.

New methods improve efficiency in evaluating nonlinear recurrent neural networks for various applications.

A new approach combines language models and prompts for better legal insights.

This study explores the use of ensemble methods in predicting material properties.

Deep Companion Learning enhances model predictions using historical performance insights.

Research focuses on efficient multilingual language models using Knowledge Distillation and Mixture of Experts.

This article reviews how vector quantization impacts understanding decisions in reinforcement learning systems.

A new adder design enhances efficiency in deep learning hardware.

New method improves accuracy and efficiency in deep learning models.

AID-DTI improves brain imaging efficiency with fewer measurements.

A new method improves accuracy in quantizing Vision Transformers without original data.

A new method enhances architecture search for deep learning models.

GFSSM enhances Structured State Space Models for better sequence handling.

DP-BloGS improves data privacy in machine learning while maintaining performance.