TY  - GEN
AB  - The book provides a timely coverage of the paradigm of knowledge distillationan 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, teacherstudent 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.
AU  - Pedrycz, Witold,
AU  - Chen, Shyi-Ming,
CN  - Q335
DO  - 10.1007/978-3-031-32095-8
DO  - doi
ID  - 1469688
KW  - Artificial intelligence.
KW  - Information technology
KW  - Knowledge management
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-32095-8
N1  - Includes index.
N2  - The book provides a timely coverage of the paradigm of knowledge distillationan 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, teacherstudent 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.
SN  - 9783031320958
SN  - 3031320956
T1  - Advancements in knowledge distillation :towards new horizons of intelligent systems /
TI  - Advancements in knowledge distillation :towards new horizons of intelligent systems /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-32095-8
VL  - volume 1100
ER  -