Advancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems

Witold Pedrycz (Curatore)

Shyi-Ming Chen (Curatore)

Springer International Publishing AG, 2023

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 variety of training schemes, teacher–student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms.

• Curatore: Witold Pedrycz, Shyi-Ming Chen
• Editore: Springer International Publishing AG
• Collana: Studies in Computational Intelligence
• Anno: 2023
• Rilegatura: Hardback
• Pagine: 232 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783031320941

Testo in English