Latest Articles for Knowledge Distillation

A new method improves machine voice recognition for speaker verification.

MaskSR2 improves speech clarity and quality using innovative techniques.

Improving model efficiency in remote sensing through knowledge distillation techniques.

Introducing PAD-FT, a lightweight method to fight backdoor attacks without clean data.

New models tackle sound classification with limited training data.

New method improves breast cancer detection using labeled and unlabeled data.

Introducing CLIPFit, a method for efficient fine-tuning of Vision-Language Models.

Research on improving bird sound identification through machine learning techniques.

Understanding attention differences can enhance language model learning.

A new approach enhances the learning process between teacher and student models.

P4Q combines fine-tuning and quantization for efficient visual-language model performance.

A new method improves knowledge transfer in machine learning models.

A framework merging different knowledge types to improve model performance.

TAKFL optimizes knowledge sharing in federated learning for diverse device capabilities.

A new method to improve Federated Learning's resilience against data attacks.

A study on automatic detection of offensive language using modern techniques.

Exploring new methods for reducing text data size efficiently.

A new method enhances segmentation accuracy by integrating shape and intensity in medical images.

A new method improves speech and audio processing across multiple tasks.

VeriDistill uses machine learning to improve circuit design efficiency and accuracy.

A new approach to improve satellite image recognition while managing costs.

Learn about APTs and how new detection methods enhance cybersecurity.

GazeGen allows users to edit images with eye movements.

Asterisk* shows how small models can effectively process language.

Discover how LLKD improves learning efficiency using smaller models.

A new method enhances drone reliability and adaptability during flight.

Researchers develop a new method for analyzing cerebrovascular images using labeled and unlabeled data.

FedCoLLM connects large and small language models while ensuring privacy and efficiency.

Exploring how models can learn without original data.

A look at how TinTeM improves AI learning with smarter methods.

Learn how knowledge distillation enhances machine learning model performance.

Botfip-LLM combines diverse data to enhance understanding in scientific computing.

MobileMamba offers efficient image processing for devices with limited resources.

MUSE offers a new way to train AI models using lower-resolution images.

Exploring how students learning together can enhance language model training.

RTSR enhances low-quality videos for a better viewing experience.

New techniques improve the analysis of EEG data for diagnosing mental disorders.

QABISAR enhances legal information retrieval, making it accessible for all.

Learn how smaller models are reshaping 3D reconstruction from images.

TinyFusion makes image generation faster without sacrificing quality.