Latest Articles for Deep Learning

QUEEN offers real-time protection against model extraction attacks in deep learning.

Swish-T enhances model performance in deep learning through innovative activation techniques.

An overview of how language models like Transformers operate and their significance.

Exploring the optimization of DNNs for devices with limited energy supply.

A new method enhances accuracy in diagnosing diseases from chest X-rays.

A new method using topology improves keypoint detection in images.

A new method improves 3D modeling from single camera videos.

This study examines Mix-Training for keyword spotting in noisy speech conditions.

A study on energy behavior in deep learning networks enhancing signal analysis.

TrackPGD tests the limits of object tracking through advanced adversarial attacks.

Discover how heavy-tailed weights enhance deep neural networks' adaptability and performance.

A new method enhances image clarity in biomedical imaging through iterative refinement.

This study explores how transformers learn from Markov processes through initialization and gradient flow.

A novel method for image deblurring enhances quality without large datasets.

LayerShuffle enhances the robustness of neural networks by enabling flexible layer execution.

This study examines metrics for assessing auto-segmentation correction times in medical imaging.

A novel approach to shape classification using graph-based techniques.

Grad-CAPS improves action smoothness in reinforcement learning for robotics and autonomous systems.

New method improves the performance of Binary Neural Networks under faults.

Exploring how ResNet18 processes features through its unique residual stream.

Discover the impact of the Mamba-based Change Detector in tracking environmental changes.

A new method enhances robotic vision by adapting to various image problems.

New method improves how deep learning models segment 3D medical images.

A new approach enhances CNN training timing and efficiency.

New methods improve protein structure analysis and classification accuracy.

A new method using circular vectors improves efficiency in multi-label tasks.

ProtoSAM offers effective segmentation with minimal data, showing promise in medical imaging.

A new model combines ConvNets and Transformers for improved image classification.

A novel approach improves clarity and efficiency in microscopy deconvolution.

An overview of deep learning methods for 3D modeling from images.

New method improves accuracy in aligning images over time.

A method that enhances training efficiency in medical image analysis.

This study examines how initialization affects the finetuning of pretrained models using LoRA.

A new method enhances accuracy in prostate cancer tumor segmentation using PET scans.

A new approach to improve efficiency in pattern recognition tasks.

Learn how random seed selection impacts AI model performance and reliability.

A mobile robot learns to recognize voices in noisy environments for practical applications.

New models help developers, but backdoor attacks pose serious security risks.

A look into analog deep learning's potential benefits and challenges in artificial intelligence.

This article discusses new methods improving deep learning performance using nonlocal derivatives.