Latest Articles for Deep Learning

A study on enhancing data sharing in transformer model training.

Using low-quality data to create high-quality videos from text.

AdaResNet offers a dynamic solution for balancing input and processed data in neural networks.

This article reviews deep learning approaches to forecast storm surges for safety and planning.

A look into the Adam optimizer's workings and convergence in AI training.

Introducing DUCD, a privacy-focused method to protect DNNs from adversarial attacks.

Virgo architecture improves GPU efficiency, performance, and power consumption.

A look into how model weights affect deep learning performance.

A new technique simplifies 3D segmentation using minimal human effort.

Research shows effective replacement of Positional Embeddings in translation models.

Learn how model pruning enhances AI performance and reduces resource needs.

Deep learning enhances automatic detection of cone photoreceptors in AOSLO images.

A new method enhances model performance using shared knowledge across tasks.

A new method to boost model robustness against adversarial attacks.

New method allows 3D modeling from just two images without camera details.

Few-shot learning offers new hope for efficient disease diagnosis in histopathology.

A new method for reducing parameters and speeding up training in neural networks.

A new architecture improves dense predictions on 3D meshes using multi-resolution techniques.

Exploring how multi-task learning affects model performance and generalization.

A new method identifies tree rings in images using deep learning.

Introducing LoG-VMamba for enhanced medical image segmentation.

Learned methods improve image compression efficiency and quality.

This study benchmarks machine learning and deep learning on tabular datasets to determine effectiveness.

A new method boosts visual model performance using RAW images.

New techniques reduce energy use in deep learning while maintaining accuracy.

New methods improve speech recognition in challenging multi-speaker situations.

A new method improves DNN security without clean data.

Innovative architecture enhances efficiency in deep learning through optical computation.

NeuralMPM speeds up material simulations using deep learning techniques.

Exploring the challenges of Multi-Task and Continual Learning in machine learning.

A new approach enhances image quality in multimodal VAEs using diffusion decoders.

A new framework enhances medical images by using local anatomical information for better diagnosis.

A novel approach to video instance segmentation reducing annotation needs.

A new model improves object detection accuracy in complex images.

Introducing IBO: a method to improve AI decision-making transparency in histopathology.

ART simplifies deep learning model development with structured steps and debugging tools.

New model enhances DWI image quality from limited data using deep learning.

A new method to tackle class imbalance using Whitening-Net improves image classification performance.

Combining physics and deep learning to improve material behavior modeling.

Research explores earth mounds' significance and impact on ecosystems.