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Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

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  • More about Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

The book provides a comprehensive coverage of knowledge distillation, a model compression technique, with a focus on transfer learning and various training schemes, architectures, and distillation algorithms. It covers a wide range of topics and applications in machine learning, including vision, language, relational architectures, multi-task learning, and image processing.

Format: Hardback
Length: 232 pages
Publication date: 14 June 2023
Publisher: Springer International Publishing AG


Knowledge distillation is a powerful technique for model compression, enabling efficient transfer learning from large teacher models to lightweight student models. This book provides a comprehensive coverage of knowledge distillation, encompassing various training schemes, teacher–student architectures, and distillation algorithms. It explores recent advancements in vision and language learning, relational architectures, multi-task learning, and representative applications in image processing, computer vision, edge intelligence, and autonomous systems. The book is suitable for a wide range of audiences, including researchers and practitioners in the field of machine learning, seeking to advance fundamental and applied research in advanced learning paradigms.


Dimension: 235 x 155 (mm)
ISBN-13: 9783031320941
Edition number: 1st ed. 2023

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