Latest Articles for Knowledge Distillation

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

Exploring self-supervised learning's role in speech processing and its challenges.

A method to enhance student models using insights from stronger teacher models.

Research focuses on improving efficiency in document understanding models.

A new framework addresses challenges in knowledge distillation for long-tailed data.

A new method improves federated learning by using only one image for training.

A new method combines hyperspectral and multispectral images for enhanced quality.

Learn how RoCoIn improves efficiency in IoT device collaboration.

A fresh approach enables weaker devices to contribute in federated learning.

New methods improve speech models for languages with limited data.

A new model enhances action recognition in dark environments using video transformer technology.

This study examines LLMs as a cost-effective alternative for text classification.

Research on improving knowledge transfer in resource-limited smart devices.

A new approach enhances temperature adjustment in knowledge distillation for better model training.

A new framework that enhances MLP performance in graph classification using GNN knowledge.

AdaDistill improves face recognition by optimizing knowledge transfer between models.

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

A new method improves language model performance and efficiency.

This study improves transfer learning by optimizing learning rates for each layer.

A new method enhances accuracy in medical image analysis using limited data.

A novel method enhances image classification using topological data analysis and knowledge distillation.

CADE improves audio detection against evolving spoofing threats using continual learning techniques.

A new framework enhances ASR performance using limited data and resources.

Surveying symbolic knowledge distillation in large language models for better clarity and utility.

Researchers find ways to reduce intent detection model sizes while maintaining accuracy.

Discover how Routing-by-Memory enhances MLP performance in graph neural networks.

A new method enhances tumor detection accuracy using weakly supervised learning techniques.

A new method enhances camera-based 3D detection using LiDAR and accurate labels.

A closer look at methods to ensure LLMs are safe from misuse.

Research shows how MBR decoding enhances translation quality in smaller models.

A new method enhances knowledge transfer in neural networks.

A novel approach to enhance continual learning with prompts and knowledge distillation.

Using technology to improve emergency medical procedures and support responders.

This study explores methods to create smaller language models effectively and affordably.

New framework improves knowledge distillation by focusing on hard samples.

DDK enhances knowledge distillation, making smaller language models more efficient.

A new method improves activity recognition using wearable sensors and AI.

A new framework improves RTL code generation through dataset augmentation and self-reflection.

This research enhances multiple object tracking using DINOv2 features to boost FairMOT.

Improving quality control through better detection of logical anomalies in products.