Latest Articles for Knowledge Distillation

A novel approach to recognize categories in unlabeled data while preserving old classifications.

Research focuses on efficient multilingual language models using Knowledge Distillation and Mixture of Experts.

A new framework enhances accuracy in predicting diagnoses from incomplete patient records.

Research focuses on improving smaller MLLMs using knowledge from larger models.

Theia improves robot learning using insights from multiple models.

Methods to speed up speaker diarization without sacrificing accuracy.

JaColBERTv2.5 enhances Japanese retrieval performance with less data.

A model enhances gaze prediction accuracy using brain signals efficiently.

A new method enhances sparse language model training while minimizing performance loss.

Gemma 2 offers high performance in a compact size for language tasks.

A new framework improves medical image segmentation with fewer labeled images.

New methods improve drug response predictions for better cancer treatment options.

Learn methods to optimize large language models for better performance and efficiency.

Introducing MoEfier for efficient transformation of language models with minimal training.

Learn how Class-Incremental Learning improves authorship attribution systems.

Techniques to reduce model size for effective deployment in limited-resource environments.

The LimitIRSTD competition pushes boundaries in detecting small infrared targets effectively.

CLIP-CID improves data efficiency in vision-language models.

New method enables event cameras to identify unseen objects effectively.

Using Transformers to enhance State-Space Models for better efficiency in NLP.

A new method to generate unbiased synthetic data for AI applications.

Exploring efficient methods for fine-tuning LLMs and addressing environmental concerns.

This article discusses a method to manipulate neural networks without triggers.

A look at how Knowledge Distillation enhances recommendation systems' speed and efficiency.

New method MedDet improves efficiency in detecting cervical disc herniation using advanced techniques.

A new method to streamline language models while preserving their performance.

Study reveals cheaper models may produce better training data for reasoning tasks.

A Python library that streamlines the use of various ranking methods in information retrieval.

An innovative approach to compress advanced models efficiently without losing performance.

New methods in image compression improve efficiency and quality.

Learn how model compression improves efficiency of large language models.

New methods improve neural network performance on limited-resource devices.

This article discusses the benefits of simplifying transformer models for speech tasks.

RPP improves fitting and generalization in Vision-Language Models using refined prompts.

New methods improve machine learning by addressing class bias and knowledge retention.

A new method improves brain tumor diagnosis while protecting patient privacy.

A new method enhances privacy while ensuring strong model performance in Federated Learning.

Small models offer unique advantages in AI, complementing larger models efficiently.

Examining the role and effectiveness of privileged information in machine learning.

KRDistill enhances knowledge distillation by addressing data imbalance issues.