Latest Articles for Deep Learning

New techniques enhance quantization while managing outliers for better model performance.

A new method automates 3D character modeling from concept art.

This article explores how machine learning algorithms learn and apply knowledge to new data.

This article discusses methods to manage noisy data for better deep learning outcomes.

This study explores how deep learning can learn integrals and basic integration rules.

A look at the process for preparing CT scans for deep learning.

Research shows effective learning rate application from small to large models.

A new method improves speaker verification by managing session variability effectively.

UniVS simplifies video segmentation tasks using prompts for better performance and versatility.

A new method generates fake defective samples to improve anomaly detection in manufacturing.

LRR improves neural network training efficiency and performance through better parameter optimization.

A new model provides clearer explanations for object detection decisions.

A new method improves retinal image analysis by separating key patient data from technical factors.

New deep learning method improves MRI accuracy for heart tissue mapping.

A new method enhances tissue density measurement using OCT images.

nnSAM enhances medical image segmentation with limited training data.

Explore how Adam improves deep learning model training and outperforms gradient descent.

A new approach improves machine learning accuracy while ensuring data privacy.

Exploring how symmetries in loss functions affect SGD dynamics during deep learning.

Research on cyclic precision training enhances efficiency in deep neural network training.

A study reveals the complexity of detecting vulnerabilities that span multiple code units.

Exploring new methods to enhance Model Predictive Control with deep learning techniques.

A new model improves chest X-ray classification for lung diseases.

Research enhances brain tumor imaging through advanced edge detection methods.

New techniques improve segmentation accuracy in chest radiographs.

Introducing Nonparametric Transfer Learning for better adaptability in data shifts.

This article discusses a new method for optimizing machine learning models.

A new method enhances deep learning model resilience against attacks using peer models.

ActGen generates relevant images to enhance model performance efficiently.

A new method enhances data splitting for deep learning in biological analysis.

Optimizing matrix multiplication with efficient integer representation in machine learning.

A new approach enhances model performance across diverse data types.

Research evaluates self-supervised techniques to improve robustness against noisy labels in medical imaging.

This study examines how preconditioning can enhance SGD performance over ridge regression.

A study on the generalization of scaled deep ResNet networks.

LoRA+ enhances model performance through tailored learning rates in deep learning.

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

A method for assessing the transferability of pre-trained models for object detection.

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

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