A Comprehensive Review of Knowledge Distillation- Methods, Applications, and Future Directions
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2024, Vol 12, Issue 3
Abstract
Knowledge distillation is a model compression technique that enhances the performance and efficiency of a smaller model (student model) by transferring knowledge from a larger model (teacher model). This technique utilizes the outputs of the teacher model, such as soft labels, intermediate features, or attention weights, as additional supervisory signals to guide the learning process of the student model. By doing so, knowledge distillation reduces computational resources and storage space requirements while maintaining or surpassing the accuracy of the teacher model. Research on knowledge distillation has evolved significantly since its inception in the 1980s, especially with the introduction of soft labels by Hinton and colleagues in 2015. Various advancements have been made, including methods to extract richer knowledge, knowledge sharing among models, integration with other compression techniques, and application in diverse domains like natural language processing and reinforcement learning. This article provides a comprehensive review of knowledge distillation, covering its concepts, methods, applications, challenges, and future directions.
Authors and Affiliations
Elly Yijun Zhu Chao Zhao Haoyu Yang Jing Li Yue Wu Rui Ding
Keywords
Related Articles
- EP ID EP744980
- DOI 10.55524/ijircst.2024.12.3.17
- Views 6
- Downloads 0
Secure Cloud Storage Privacy-Preserving In Public Auditing
Cloud computing is a technology that is both efficient and cost-effective, thanks to its low maintenance requirements. This paper implemented a approach is used to share group resources across cloud users. Regrettably, a...
Low Power Implementation of QRS Detection System
This paper proposes a modification of the pre-processing stage of the Pan-Tompkins algorithm. In this paper, the fractional order differentiator now stands in for the integer order differentiator. Since the gain of the f...
Securing the Skies- A Critical Analysis of Cloud Infrastructure Vulnerabilities
Cloud computing offers storage, infrastructure, computing, networking, databases, platform, software, and analytics services over the Internet. It provides numerous benefits including scalability, cost management, broad...
Concurrent Data Processing in Microsoft Dynamics CRM Using Python
The realm of Customer Relationship Management (CRM) has seen significant improvements with the integration of automation and data analytics. Python, known for its robust data manipulation libraries, offers a seamless exp...
The Simple Model of Newton's II Law and Its Applications
The research aims to determine The Simple model for Newton’s II Law and its application. The sample of this study is 20 sample variation. Data analysis technique used is by regression analysis. From the results of the an...