LEADER 03143nam 22005415 450 001 9910739443203321 005 20230613174628.0 010 $a3-031-32095-6 024 7 $a10.1007/978-3-031-32095-8 035 $a(CKB)26946413200041 035 $a(MiAaPQ)EBC30593532 035 $a(Au-PeEL)EBL30593532 035 $a(DE-He213)978-3-031-32095-8 035 $a(PPN)272260770 035 $a(EXLCZ)9926946413200041 100 $a20230613d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems /$fedited by Witold Pedrycz, Shyi-Ming Chen 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (239 pages) 225 1 $aStudies in Computational Intelligence,$x1860-9503 ;$v1100 311 $a9783031320941 327 $aCategories 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. 330 $aThe book provides a timely coverage of the paradigm of knowledge distillation?an efficient way of model compression. Knowledge distillation is positioned in a general setting of transfer learning, which effectively learns a lightweight student model from a large teacher model. The book covers a variety of training schemes, teacher?student architectures, and distillation algorithms. The book covers a wealth of topics including recent developments in vision and language learning, relational architectures, multi-task learning, and representative applications to image processing, computer vision, edge intelligence, and autonomous systems. The book is of relevance to a broad audience including researchers and practitioners active in the area of machine learning and pursuing fundamental and applied research in the area of advanced learning paradigms. 410 0$aStudies in Computational Intelligence,$x1860-9503 ;$v1100 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aPedrycz$b Witold$021029 701 $aChen$b Shyi-Ming$01423979 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739443203321 996 $aAdvancements in Knowledge Distillation: Towards New Horizons of Intelligent Systems$93578483 997 $aUNINA