Litcius/Paper detail

An adaptive teacher–student learning algorithm with decomposed knowledge distillation for on-edge intelligence

Majid Sepahvand, Fardin Abdali-Mohammadi, Amir Taherkordi

2022Engineering Applications of Artificial Intelligence26 citationsDOI

Topics & Concepts

Computer scienceFeature (linguistics)Benchmark (surveying)Convolution (computer science)Enhanced Data Rates for GSM EvolutionFunction (biology)Pattern recognition (psychology)Artificial intelligenceAlgorithmMachine learningArtificial neural networkGeodesyBiologyGeographyLinguisticsPhilosophyEvolutionary biologyTensor decomposition and applicationsAdvanced Neural Network ApplicationsMachine Learning and ELM
An adaptive teacher–student learning algorithm with decomposed knowledge distillation for on-edge intelligence | Litcius