Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

The book provides a timely coverage of the paradigm of knowledge distillation—an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a vari...

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Bibliographic Details
Other Authors: Pedrycz, Witold (Editor), Chen, Shyi-Ming (Editor)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2023, 2023
Edition:1st ed. 2023
Series:Studies in Computational Intelligence
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation
  • A Geometric Perspective on Feature-Based Distillation
  • Knowledge Distillation Across Vision and Language
  • Knowledge Distillation in Granular Fuzzy Models by Solving Fuzzy Relation Equations
  • Ensemble Knowledge Distillation for Edge Intelligence in Medical Applications
  • Self-Distillation with the New Paradigm in Multi-Task Learning
  • Knowledge Distillation for Autonomous Intelligent Unmanned System