Latest Articles for Knowledge Distillation

Learn how GKEDM improves Graph Convolutional Network performance.

A look into how AVQA technology answers questions using video and audio.

New methods enhance model learning by including slower devices in federated learning.

New methods enhance accuracy in noisy speech recognition using large language models.

A novel approach to enhance summarization skills in smaller models using larger models.

A new approach improves camera and radar systems for better object detection.

GOLD offers a framework for generating diverse training data for small language models.

FedD2S enhances Federated Learning by personalizing models while preserving data privacy.

Discover methods to enhance student models in knowledge distillation.

A new method enhances event linking in texts using AI-generated reasoning.

New methods improve 3D modeling from single and multiple images.

Introducing FedFisher, an innovative algorithm for efficient federated learning.

A new framework improves efficiency in video object detection for surveillance systems.

A look at the progress in paraphrase generation methods using knowledge distillation.

A new defense mechanism reduces label inference attack risks in collaborative machine learning.

This article discusses enhancing lightweight Vision Transformers using masked image modeling.

A new method enhances speech model performance and efficiency in noisy environments.

Claude 3 Opus excels in translating low-resource languages with impressive efficiency.

G-HANet combines tissue images and genomic data for improved cancer outcome predictions.

A new method to improve model performance in AI through knowledge transfer.

Discover a method to reduce neural network size without sacrificing performance.

Explore methods to enhance efficiency and security of deep neural networks.

A look into the risks of Membership Inference Attacks on data privacy.

A new method enhances decentralized federated learning while maintaining data privacy.

New methods enhance character customization in visual storytelling.

A new framework enhances federated learning and prevents forgetfulness in AI models.

Adapting chat models to support non-English languages for broader access.

Cohort-based approach improves efficiency and accuracy in Federated Learning systems.

A new model enhances portfolio management through AI and traditional theories.

A new hybrid system combines optical and electronic methods for efficient image classification.

FedHPL enhances federated learning efficiency while ensuring data privacy across devices.

A new method enables the transfer of LoRA modules with synthetic data, minimizing reliance on original data.

New method addresses challenges in machine learning without labels.

Introducing RobustKD, a method to enhance model safety against backdoor attacks.

UniCompress improves medical image storage and transmission with advanced AI techniques.

DSNNs process information like real neurons, offering improved efficiency for data handling.

A new method improves small model accuracy using synthetic data.

A new method enhances privacy and efficiency in face verification using lensless imaging.

Knowledge distillation enhances segmentation accuracy in medical imaging with limited data.

A study on enhancing ASR for Arabic dialects using efficient model techniques.