Latest Articles for Knowledge Distillation

Discover methods to make Vision Transformers more efficient for real-world applications.

Making vision transformers efficient for drones and mobile devices to enhance visual tasks.

This study presents a new method to enhance learning in neural networks.

Exploring the use of NLI for enhancing language processing in Italian.

New method improves model learning through advanced feature distillation techniques.

A technique to reduce code model size while maintaining performance.

Research improves knowledge distillation methods for efficient semantic image segmentation.

Utilizing digital twins for improved anomaly detection in train control management.

Introducing RRGNet, an efficient method for removing rain from videos using knowledge distillation.

Radio2Text uses mmWave signals for real-time speech recognition in noisy environments.

New method enhances robots' understanding of object interactions in 3D environments.

A new framework enhances efficiency and accuracy in semantic segmentation tasks.

This study reveals how brain signals can recreate images seen by individuals.

A new method improves image quality while saving resources.

A new method improves audio tagging performance and efficiency.

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

A novel approach merges two methods for better problem-solving.

MoMA improves AI learning in pathology with limited data access.

New method improves accuracy and speed in detecting fabric defects.

Combining 2D and 3D models boosts molecular property prediction accuracy.

A method to simplify CNNs during training while preserving performance.

A new method improves change detection by addressing image quality differences.

New technology improves brain tumor detection and classification through deep learning.

A new approach enhances video object segmentation accuracy and efficiency.

A new framework improves continual learning for tasks combining vision and language.

Discover how DFML transforms data learning without central servers.

This article reviews techniques to enhance Large Language Models' efficiency and performance.

A look at bi-CryptoNets and their impact on data privacy.

Strategies for improving search engines in multiple languages with limited data.

New methods improve tiny models for better speech enhancement using less resources.

New techniques improve efficiency in language models through effective knowledge transfer.

Examining the link between dataset compression and adversarial robustness in deep learning.

Researchers develop a method for efficient robot control across different designs.

A new method enhances object detection in documents using graph structures.

A new approach to make language models smaller and faster using 1-bit quantization.

New techniques aim to boost the accuracy of voice-activated devices against attacks.

Learn how knowledge distillation improves smaller models using insights from larger ones.

A new approach enhances training efficiency for modular neural networks.

A new approach to improve knowledge distillation effectiveness using Sinkhorn distance.

A new method improves voice recognition using fewer labels and resources.