Latest Articles for Deep Learning

SINCERE improves supervised contrastive learning with better class separation and representation.

Research explores deep learning for creating audio to match silent video content.

A look into improving neural networks through optimization and training techniques.

A look at Multi-Objective Optimization in deep learning for better model training.

This study explores how learned representations impact classification performance in DNNs.

A new framework combines CodeBERT and GNNs for better vulnerability detection in software.

A new approach streamlines model design for devices with limited computing power.

Research focuses on making machine learning applications reliable against hardware failures.

Exploring how deep learning analyzes complex dynamical systems.

New techniques improve the analysis of cellular changes using large datasets.

Variance suppression enhances deep neural network performance in challenging data conditions.

New dataset and method improve facade parsing accuracy and efficiency.

Study shows Supervised Contrastive Learning enhances model performance across varied datasets.

A new approach improves image quality in photoacoustic tomography with deep learning.

A new method enhances defect detection in industrial imaging.

Canary improves allreduce performance by adapting to network congestion dynamically.

SAM improves neural network training by focusing on parameter stability.

MixQuant optimizes bit-width choices for deep neural networks, balancing efficiency and accuracy.

A new method enhances the use of deep learning on tabular data.

APNet combines aerial images and point clouds for better urban analysis.

Evaluating performance of Transformer models using specialized GAUDI hardware.

New methods improve clarity in noisy environments through advanced sound processing.

U-SWIM reduces programming time for DNNs by focusing on sensitive weights.

Truncated Transfer Learning improves efficiency in medical image classification tasks.

R2D2 enhances image quality in radio astronomy using deep learning techniques.

A new neural network model improves text recognition across different tasks and domains.

A new model improves low-quality videos while reducing processing demands.

This article discusses methods to reduce noise artifacts in Vision Transformers for enhanced feature quality.

Deep learning techniques improve monitoring and optimization in electric power systems.

A new framework optimizes Tensorial Neural Networks for better efficiency and performance.

Analyzing stability in adversarial training to enhance model generalization.

A study on identifying and managing assumptions in deep learning projects using the AssuEval dataset.

This paper discusses methods from COLIEE 2023 to improve legal text processing.

A new approach to binarizing neural networks using mathematical morphology enhances performance and efficiency.

Introducing Neat, an efficient method for classifying known and unknown data categories.

MatSAM enhances microstructure extraction from material images for improved analysis and research.

TRIPS enhances efficiency in vision-language tasks by selecting relevant image patches.

Learn how ConKeD improves retinal image alignment for better disease tracking.

New techniques improve anomaly detection in visual inspections using machine learning.

New models improve predictions of drug binding affinity using antibody-antigen interactions.